CN111901263B

CN111901263B - Wireless signal compensation method, numerical value determination method and device, equipment and medium

Info

Publication number: CN111901263B
Application number: CN202010779196.4A
Authority: CN
Inventors: 刘君
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2020-08-05
Filing date: 2020-08-05
Publication date: 2023-04-25
Anticipated expiration: 2040-08-05
Also published as: CN111901263A

Abstract

The application discloses a wireless signal compensation method, a numerical value determination method, a device, equipment and a storage medium, wherein the wireless signal compensation method comprises the following steps: a wireless signal compensation method for compensating a wireless signal, the method comprising: acquiring a group of target parameter values of a fitting function for corresponding wireless signal compensation according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation; determining a target compensation coefficient for at least one frequency component of the wireless signal based on the fitting function and the set of target parameter values; and compensating the corresponding frequency component in the wireless signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal.

Description

Wireless signal compensation method, numerical value determination method and device, equipment and medium

Technical Field

Embodiments of the present application relate to communication technologies, and relate to, but are not limited to, a wireless signal compensation method, a numerical value determination method, a device, equipment, and a medium.

Background

Modern wireless communication systems, including various signal processing procedures including filtering, and physical devices such as digital-to-analog converters, analog filters, power amplifiers, and tuners in antennas, inevitably introduce signal distortion, often manifested as non-planarity of the frequency domain amplitude response and non-linearity of the phase response within the effective bandwidth of the signal. Such frequency domain distortion may affect the quality of the transmitted signal or the received signal to some extent, affecting the performance of the communication transmission.

In general, a method for correcting such frequency domain distortion at a wireless signal transmitting end is to multiply a compensation coefficient at a frequency domain of a baseband signal, so as to compensate for the distortion of a radio frequency module. Similarly to the wireless signal transmitting end, at the wireless signal receiving end, after the received radio frequency signal is subjected to radio frequency processing, the obtained baseband time domain signal is multiplied by a compensation coefficient in the frequency domain, so that the distortion of the radio frequency module is compensated.

The existing frequency domain signal compensation scheme requires that the compensation coefficient of the whole frequency domain bandwidth must be stored, thus requiring a large memory overhead.

Disclosure of Invention

In view of this, the wireless signal compensation method, the numerical value determination method, the device, the equipment and the medium provided by the embodiment of the application can greatly save the data storage space on the basis of realizing high-precision signal compensation; the wireless signal compensation method, the numerical value determination method, the device, the equipment and the storage medium provided by the embodiment of the application are realized in the following way:

the wireless signal compensation method provided by the embodiment of the application compensates the wireless signal, and comprises the following steps: acquiring a group of target parameter values of a fitting function for corresponding wireless signal compensation according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation; determining a target compensation coefficient for at least one frequency component of the wireless signal based on the fitting function and the set of target parameter values; and compensating the corresponding frequency component in the wireless signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal.

The wireless signal compensation method provided by the embodiment of the application compensates the baseband frequency domain signal, the method is applied to a wireless signal transmitting end, and the method comprises the following steps: acquiring a group of target parameter values of a fitting function for compensating corresponding baseband frequency domain signals according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation; determining a target compensation coefficient of at least one frequency component of the baseband frequency domain signal according to the fitting function and the set of target parameter values; and compensating the corresponding frequency component in the baseband frequency domain signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal.

The wireless signal compensation method provided by the embodiment of the application compensates the baseband frequency domain signal, the method is applied to a wireless signal receiving end, and the method comprises the following steps: acquiring a group of target parameter values of a corresponding fitting function according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation; determining a target compensation coefficient of at least one frequency component of the baseband frequency domain signal according to the fitting function and the set of target parameter values; compensating the corresponding frequency component in the baseband frequency domain signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal; and carrying out baseband processing on the target signal.

The numerical value determining method provided by the embodiment of the application comprises the following steps: under any preset state information, determining a group of amplitude sample compensation coefficients and phase sample compensation coefficients corresponding to different frequencies; performing curve fitting on each amplitude sample compensation coefficient to obtain a first number set in a group of parameter values of a fitting function; performing curve fitting on each phase sample compensation coefficient to obtain a second set of parameter values; the set of parameter values is used for determining a target compensation coefficient of at least one frequency component of the wireless signal under the preset state information, and the target compensation coefficient is used for compensating the corresponding frequency component in the wireless signal.

The embodiment of the application provides a wireless signal compensation device, compensates wireless signal, includes: the parameter acquisition module is used for acquiring a group of target parameter values of the fitting function for corresponding wireless signal compensation according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation; a coefficient determination module for determining a target compensation coefficient for at least one frequency component of the wireless signal based on the fitting function and the set of target parameter values; and the signal compensation module is used for compensating the corresponding frequency component in the wireless signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal.

The electronic device provided by the embodiment of the application comprises: the processor is used for acquiring a group of target parameter values of a fitting function for corresponding wireless signal compensation according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation; a value operation circuit for determining a target compensation coefficient of at least one frequency component of the wireless signal according to the fitting function and the set of target parameter values; and the signal compensation circuit is used for compensating the corresponding frequency component in the wireless signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal.

The wireless signal transmitting device provided by the embodiment of the application comprises: the processor acquires a group of target parameter values of a fitting function for compensating the corresponding baseband frequency domain signal according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation; a value operation circuit for determining a target compensation coefficient of at least one frequency component of the baseband frequency domain signal according to the fitting function and the set of target parameter values; and the signal compensation circuit is used for compensating the corresponding frequency component in the baseband frequency domain signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal.

The wireless signal receiving device provided by the embodiment of the application comprises: the processor is used for acquiring a group of target parameter values of a fitting function for the corresponding baseband frequency domain signal according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation; a value operation circuit for determining a target compensation coefficient of at least one frequency component of the baseband frequency domain signal according to the fitting function and the set of target parameter values; the signal compensation circuit is used for compensating the corresponding frequency component in the baseband frequency domain signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal; and the baseband processing circuit is used for carrying out baseband processing on the target signal.

The numerical value determining device provided in the embodiment of the application includes: the sample determining module is used for determining a group of amplitude sample compensation coefficients and phase sample compensation coefficients corresponding to different frequencies under any preset state information; the curve fitting module is used for performing curve fitting on each amplitude sample compensation coefficient to obtain a first number set in a group of parameter values of a fitting function; performing curve fitting on each phase sample compensation coefficient to obtain a second set of parameter values; the set of parameter values is used for determining a target compensation coefficient of at least one frequency component of the wireless signal under the preset state information, and the target compensation coefficient is used for compensating the corresponding frequency component in the wireless signal.

The electronic device provided in the embodiments of the present application includes a memory and a processor, where the memory stores a computer program that can be run on the processor, and the processor implements steps in any one of the wireless signal compensation methods in the embodiments of the present application when executing the program, or implements steps in the numerical value determination method in the embodiments of the present application when executing the program.

The computer readable storage medium provided in the embodiments of the present application stores a computer program, where the computer program when executed by a processor implements the steps in any of the wireless signal compensation methods in the embodiments of the present application, or where the computer program when executed by a processor implements the steps in the numerical value determination method in the embodiments of the present application.

In the wireless signal compensation method provided in the embodiment of the present application, when performing signal compensation on a wireless signal, a manner in which an electronic device determines a target compensation coefficient of a frequency component of the signal is: obtaining a group of target parameter values of a fitting function corresponding to the current state information; then, a target compensation coefficient for at least one target frequency component in the wireless signal is determined based on the fitting function and the set of target parameter values. Therefore, on the premise of ensuring the compensation precision, the storage space of the electronic equipment can be greatly saved.

Drawings

FIG. 1 is a basic flow diagram of wireless communication;

FIG. 2 is a schematic diagram of a network architecture to which embodiments of the present application may be applied;

fig. 3 is a schematic diagram of a service scenario to which the wireless signal compensation method provided in the present application may be applied;

fig. 4 is a schematic diagram of another service scenario to which the wireless signal compensation method provided in the present application may be applied;

fig. 5 is a schematic diagram of an implementation flow of a wireless signal compensation method according to an embodiment of the present application;

fig. 6A is a schematic flow chart of another implementation of a wireless signal compensation method according to an embodiment of the present application;

fig. 6B is a schematic flowchart of another implementation of a wireless signal compensation method according to an embodiment of the present application;

fig. 7 is a schematic implementation flow chart of a method for determining an amplitude sample compensation coefficient or a phase sample compensation coefficient according to an embodiment of the present application;

fig. 8 is a schematic flow chart of an implementation of another wireless signal compensation method according to an embodiment of the present disclosure;

fig. 9 is a schematic diagram of an implementation flow of another wireless signal compensation method according to an embodiment of the present application;

FIG. 10 is a schematic diagram of an implementation flow of a numerical value determination method according to an embodiment of the present application;

FIGS. 11 and 12 are schematic diagrams of non-planarity of the frequency domain amplitude response and non-linearity of the frequency domain phase response, respectively;

fig. 13 is a schematic diagram of a process of calculating a frequency domain compensation coefficient of a transmitting end according to an embodiment of the present application;

Fig. 14 is a schematic process diagram of calculating a receiving-end frequency domain compensation coefficient according to an embodiment of the present application;

fig. 15 is a schematic diagram of a process of performing frequency domain compensation at a wireless signal transmitting end according to an embodiment of the present application;

fig. 16 is a schematic diagram of a process of performing frequency domain compensation at a wireless signal receiving end according to an embodiment of the present application;

FIG. 17 is a graph showing the frequency domain amplitude response after compensation according to the embodiment of the present application;

fig. 18 and 19 are schematic diagrams illustrating frequency domain phase compensation effects according to embodiments of the present application;

fig. 20 is a schematic application flow diagram of a wireless signal compensation method at a transmitting end according to an embodiment of the present application;

fig. 21 is a schematic application flow diagram of a wireless signal compensation method at a receiving end according to an embodiment of the present application;

fig. 22A is a schematic structural diagram of a wireless signal compensation device according to an embodiment of the present application;

fig. 22B is another schematic structural diagram of a wireless signal compensation device according to an embodiment of the present application;

fig. 23 is a schematic structural view of a numerical value determining apparatus according to an embodiment of the present application;

fig. 24 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

fig. 25 is a schematic structural diagram of a wireless signal transmission device according to an embodiment of the present application;

fig. 26 is a schematic structural diagram of a wireless signal receiving apparatus according to an embodiment of the present application;

fig. 27 is a schematic diagram of a hardware entity of an electronic device according to an embodiment of the present application.

Detailed Description

For the purposes, technical solutions and advantages of the embodiments of the present application to be more apparent, the specific technical solutions of the present application will be described in further detail below with reference to the accompanying drawings in the embodiments of the present application. The following examples are illustrative of the present application, but are not intended to limit the scope of the present application.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the present application.

In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.

It should be noted that the term "first\second\third" in relation to the embodiments of the present application is merely to distinguish similar or different objects and does not represent a specific ordering for the objects, it being understood that the "first\second\third" may be interchanged in a specific order or sequence, where allowed, to enable the embodiments of the present application described herein to be practiced in an order other than that illustrated or described herein.

The wireless communication basic flow, network architecture and service scenario described in the present application are for more clearly describing the technical solution of the embodiments of the present application, and do not constitute a limitation on the technical solution provided by the embodiments of the present application. As can be known to those skilled in the art, with the evolution of the network architecture and the appearance of new service scenarios, the technical solution provided in the embodiments of the present application is also applicable to similar technical problems.

The technical solution of the embodiment of the present application may apply a fourth generation mobile communication system (the 4th generation mobile communication system,4G), a fifth generation mobile communication technology (5 th-Generation wireless communication technology, 5G) New air interface (NR) system or a future communication system, and may also be used in other various wireless communication systems, for example: narrowband internet of things (Narrow Band-Internet of Things, NB-IoT) systems, global system for mobile communications (Global System of Mobilecommunication, GSM), enhanced data rates for GSM evolution (Enhanced Data rate for GSM Evolution, EDGE) systems, wideband code Division multiple access (Wideband Code Division Multiple Access, WCDMA) systems, code Division multiple access 2000 (Code Division Multiple Access, CDMA 2000) systems, time Division-Division multiple access (Time Division-Synchronization Code Division Multiple Access, TD-SCDMA) systems, general packet radio services (General Packet Radio Service, GPRS), long term evolution (Long Term Evolution, LTE) systems, LTE frequency Division duplex (Frequency Division Duplex, FDD) systems, LTE Time Division duplex (Time Division Duplex, TDD), general mobile communication systems (Universal Mobile Telecommunication System, UMTS), and the like.

In general, wireless communication systems typically include a baseband module and a radio frequency module. Taking a wireless communication terminal (e.g., a mobile phone, etc.) as an example, as shown in fig. 1, a basic flow of wireless communication is shown. In the transmission direction of the wireless signal, the baseband module 101 of the transmitting end 100 is responsible for generating a digital baseband signal, and then transmits the digital baseband signal to the radio frequency module 102 through a digital interface between the baseband module 101 and the radio frequency module 102. The radio frequency module 102 performs processes such as interpolation filtering, up-conversion, predistortion, analog-to-digital conversion and the like on the digital signal from the baseband module 101, modulates the signal to a corresponding frequency band, converts the signal into an analog signal, amplifies power by the power amplifier 103, and then transmits the amplified signal to the antenna 104, and the antenna 104 converts the signal into electromagnetic waves and transmits the electromagnetic waves outwards.

In the receiving direction of the wireless signal, the receiving end 110 receives the radio frequency signal through the antenna 111, converts the radio frequency signal into a digital baseband signal through a low noise amplifier, an analog filter, an analog-to-digital conversion and other processes of the radio frequency module 112, and then sends the digital baseband signal to the baseband module 113 for processing, so as to realize the receiving and the detection of the signal.

The wireless signal compensation method provided by the application can be applied to signals output in any processing process in the flow. That is, the wireless signal compensation method provided by the present application may be used to compensate the signal output by any of the processes in the above-described flow.

Fig. 2 illustrates one network architecture to which embodiments of the present application may be applicable. As shown in fig. 2, the network architecture provided in this embodiment includes: network device 201 and terminal 202. The terminal according to the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other electronic devices connected to a wireless modem, and various forms of user terminal devices (terminal devices) or Mobile Stations (MSs), etc. The network device according to the embodiment of the present application is a device deployed in a radio access network to provide a wireless communication function for a terminal. In this embodiment of the present application, the network device may be, for example, a base station shown in fig. 2, where the base station may include various forms of macro base station, micro base station, relay station, access point, and other electronic devices.

The wireless signal compensation method provided by the embodiment of the application can be applied to the information interaction process between the network equipment and the terminal. That is, when applied to a wireless signal transmitting terminal, the wireless signal transmitting terminal may be a network device or a terminal; correspondingly, when the wireless signal receiving terminal is applied to the wireless signal receiving terminal, the wireless signal receiving terminal can be a terminal or a network device. Alternatively, the method may also be applied in a process of information interaction between terminals, that is, the sending end and the receiving end are two different terminals, which is not limited in this embodiment of the present application.

Fig. 3 shows a service scenario to which the wireless signal compensation method provided in the present application may be applied, as shown in fig. 3, where the method is applied to a transmitting end of a wireless communication terminal Modem (Modem) of a 4G/5G system. In a baseband module, performing signal compensation on uncompensated baseband frequency domain signals by adopting the wireless signal compensation method provided by the application to obtain compensated baseband frequency domain signals; the uncompensated baseband frequency domain signal is, for example, a frequency domain signal such as a physical uplink shared channel (Physical Uplink Shared Channel, PUSCH), a physical uplink control channel (Physical Uplink Control Channel, PUCCH), a physical random access channel (Physical Random Access Channel, PRACH), or a sounding reference signal (Sounding Reference Signal, SRS); then, the baseband module converts the compensated baseband frequency domain signal into a time domain, and carries out subsequent baseband processing on the obtained time domain signal to obtain a baseband time domain signal after frequency domain compensation; and finally, inputting the time domain signal to a radio frequency module.

Fig. 4 shows a service scenario to which the wireless signal compensation method provided in the present application may be applied, as shown in fig. 4, where the method is applied to a receiving end of a wireless communication terminal Modem in a 4G/5G system. The radio frequency module performs radio frequency processing on the air interface radio frequency signal to obtain a baseband time domain signal; the baseband time domain signal is then converted to an uncompensated baseband frequency domain signal by discrete fourier transform (Discrete Fourier Transform, DFT) or fast fourier transform (Fast Fourier Transform, FFT); the method for compensating the wireless signal provided by the application is used for compensating the uncompensated baseband frequency domain signal to obtain a compensated baseband frequency domain signal, and carrying out subsequent baseband processing on the signal.

An embodiment of the present application provides a wireless signal compensation method for compensating a wireless signal, where the method is applied to an electronic device that is a wireless signal receiving end, or the method may also be applied to an electronic device that is a wireless signal transmitting end, and fig. 5 is a schematic implementation flow diagram of the wireless signal compensation method according to the embodiment of the present application, as shown in fig. 5, and the method may include the following steps 501 to 503:

step 501, obtaining a set of target parameter values of a fitting function for corresponding wireless signal compensation according to current state information; wherein the set of target parameter values comprises a first set of values for amplitude compensation and/or a second set of values for phase compensation.

In some embodiments, the first set of numbers is obtained by curve fitting a set of amplitude sample compensation coefficients corresponding to different frequencies, and the second set of numbers is obtained by curve fitting a set of phase sample compensation coefficients corresponding to different frequencies;

different state information and corresponding fitting function parameter value sets are different, so that different wireless signals can be compensated in a targeted manner, the transmitting quality or the receiving quality of the wireless signals is improved, the communication performance is improved, and the communication time delay is shortened.

The electronic device may search parameter value sets corresponding to the current state information, that is, the set of target parameter values, from parameter value sets corresponding to the various state information stored in the electronic device. Taking the terminal to implement the wireless signal compensation method as an example, parameter values corresponding to various state information can be stored in a memory of the terminal or can be stored in network equipment. When the information is stored in the network equipment, the terminal can send request information carrying the current state information of the terminal to the network equipment, and request to obtain a group of target parameter values corresponding to the state information.

In some embodiments, the current state information includes at least one of: signal frequency band, carrier bandwidth, number of carrier aggregations, baseband sampling frequency, signal transmit power or signal receive power, temperature of the device performing the method. It will be appreciated that the different signal receiving powers result in different values of the operating parameters of the hardware such as the power amplifier, and thus different levels of distortion of the signal output by the power amplifier. Similarly, the operating parameter values of the corresponding hardware are different for the different parameter values of the signal frequency band, the carrier bandwidth and the like, and the distortion degree of the output signal is also different. That is, the inventors found during the course of the study that factors affecting signal distortion mainly include signal frequency band, carrier bandwidth, the number of carrier aggregation, baseband sampling frequency, signal transmission power or signal reception power, temperature of the apparatus performing the method.

It should be noted that the signal frequency band, carrier bandwidth, carrier aggregation number and baseband sampling frequency may be working parameters of the electronic device, or may be attributes corresponding to the wireless signal.

It can be appreciated that, for the signal receiving end, the preset state information may include signal receiving power and not include signal transmitting power; for the signal transmitting end, the preset state information may include signal transmission power and not include signal reception power.

It will be appreciated that the set of target parameter values comprises a first set and/or a second set, that is, the wireless signal compensation method may perform amplitude compensation only on the wireless signal, may perform phase compensation only on the wireless signal, and may perform amplitude compensation and phase compensation on the wireless signal.

Step 502, determining a target compensation coefficient of at least one frequency component of the wireless signal according to the fitting function and the set of target parameter values.

The wireless signal may be a signal output by any of the processes shown in fig. 1. Namely, the wireless signal compensation method provided by the embodiment of the application is applicable to any stage of a signal processing process.

The inventors found during the course of the study that: sample compensation function

And->

The independent variable f has the characteristics of smoothness, continuity, conductivity and the like. Thus, when selecting the fitting method, a fitting function is selected based on these characteristics. For convenience in implementation, a polynomial interpolation fitting function with lower implementation complexity can be selected as the fitting function in the embodiment of the application, but the method is not limited to the polynomial interpolation fitting function, and can be any feasible fitting algorithm. For example, the fitting function may be, but is not limited to, hermit (Hermit) interpolation, lagrangian(Lagrange) interpolation, cubic spline interpolation or least square method, and the like.

It will be appreciated that the polynomial interpolation fit function contains only addition and multiplication operations, and is easy to implement in hardware. The polynomial interpolation function may be in the form of the following equation 1:

optionally, an iterative calculation method of the polynomial function is as follows:

-a first step: a, a _n ·f

-a second step: a, a _n ·f+a _n-1

-a third step: (a) _n ·f+a _n-1 )·f＝a _n ·f ² +a _n-1 ·f

-a fourth step: a, a _n ·f ² +a _n-1 ·f+a _n-2

-a fifth step: (a) _n ·f ² +a _n-1 ·f+a _n-2 )·f＝a _n ·f ³ +a _n-1 ·f ² +a _n-2 ·f

-a sixth step: a, a _n ·f ³ +a _n-1 ·f ² +a _n-2 ·f+a _n-3

…

-step 2 n-1: (a) _n ·f ^n-1 +a _n-1 ·f ^n-2 +...+a ₁ )·f _n

＝a _n ·f ⁿ +a _n-1 ·f ^n-1 +...+a ₁ ·f

-step 2 n: a, a _n ·f ⁿ +a _n-1 ·f ^n-1 +...+a ₁ ·f+a ₀

It can be seen that only n times real multiplication and n times real addition are required to calculate the n-th order polynomial function value. If fixed point operation is adopted, bit width and calculation accuracy in the calculation process are comprehensively considered, and 2n shift operations are introduced at most. Namely, the polynomial fitting function of order n is calculated in the above manner, and at most, n times of real multiplication, n times of real addition and 2n times of shift operation are required.

Hypothesis pair

And->

Fitting functions obtained by fitting are respectively marked as +.>

And->

If polynomial fitting is used, ++>

And->

A polynomial function of a single expression is possible, and a polynomial function of a plurality of expressions (such as piecewise spline interpolation) segmented according to the frequency range is also possible according to the actual need. The final result depends on a balance of fitting accuracy and implementation complexity (computational complexity, parameter storage space, etc.).

In the embodiment of the present application, the signal compensation is not limited to what frequency components of the wireless signal are. Signal compensation may be performed for some or all of the frequency components in the wireless signal. Taking an electronic device supporting a 4G or 5G system as an example, the electronic device may determine target compensation coefficients of one or more subcarriers in a wireless signal, so as to perform signal compensation on the one or more subcarriers. The plurality of subcarriers may be each subcarrier of a wireless signal.

In some embodiments, when the set of target parameter values includes only the first set of numbers, or only the second set of numbers, the fitting function shown in equation 2 is taken as an example:

in the formula, fit the function

Fitting coefficient (a) _n ,a _n-1 ,…,a ₀ ) I.e. the first number set. The electronic device may substitute a certain frequency component f into the formula 1, thereby obtaining a target compensation coefficient of the frequency component.

It will be appreciated that the first set of numbers is used to determine the target compensation coefficients of different types, the former being used to determine the amplitude compensation coefficients, and the second set being used to determine the phase compensation coefficients. For example, an amplitude compensation coefficient of a certain frequency component

Indicating the phase compensation coefficient>

Representing the target compensation coefficient of the frequency component determined as

And step 503, compensating the corresponding frequency component in the wireless signal by using the target compensation coefficient of each frequency component to obtain a target signal.

In some embodiments, the electronic device may multiply the target compensation coefficient for each frequency component with the signal for the corresponding frequency component to achieve compensation for that frequency component.

In the wireless signal compensation method provided in the embodiment of the present application, when performing signal compensation on a wireless signal, a manner in which an electronic device determines a target compensation coefficient of a frequency component of the signal is: obtaining a group of target parameter values of a fitting function corresponding to the current state information; then, a target compensation coefficient for at least one target frequency component in the wireless signal is determined based on the fitting function and the set of target parameter values. Therefore, on the premise of ensuring the compensation precision, the storage space of the electronic equipment can be greatly saved. This is because: in implementation, the electronic device only needs to store the parameter values of the fitting function under different state information, and does not need to store the target compensation coefficient of each frequency component under different state information.

It can be appreciated that, since the range of the frequency value f is generally large, for example, the number of maximum physical resource blocks (Physical Resource Block, PRBs) of a single carrier of the current 5G communication system may be 273, each PRB contains 12 subcarriers, and the number of corresponding subcarriers is as high as 273×12=3276. If the compensation coefficient of each subcarrier is directly stored, a large storage space will be required. For example, both the amplitude compensation coefficient and the phase compensation coefficient are quantized with 16 bits, and the amount of memory required for a single state information is 3276×16×2= 104832 bits=13104 bytes. The amount of memory required will be extremely large, considering all possible configurations. It is common practice to sample the amplitude compensation coefficients and the phase compensation coefficients at the granularity of frequency domain compensation (frequency resolution), i.e. instead of a pair of amplitude compensation coefficients and phase compensation coefficients per subcarrier, a plurality of subcarriers or a single or a plurality of PRBs corresponds to a pair of amplitude compensation coefficients and phase compensation coefficients. The memory space required in this way is still relatively large and also reduces the accuracy of the compensation, affecting the compensation performance.

In view of this, the embodiment of the present application uses a fitting function to compensate coefficients for a set of amplitude samples corresponding to different frequencies under the state information i

And phase sample compensation coefficient->

Fitting is performed by this method only requiring the storage of parameter values for the fitting function. Whereas the number of parameter values of the fitting function is typically a single digit number, which is much smaller than the number of subcarriers or PRBs. Therefore, the storage space can be reduced on the basis of ensuring the compensation accuracy.

The embodiment of the present application further provides a wireless signal compensation method for compensating a wireless signal, where the method is applied to an electronic device that is a wireless signal receiving end, or the method may also be applied to an electronic device that is a wireless signal transmitting end, and fig. 6A is a schematic implementation flow diagram of another wireless signal compensation method in the embodiment of the present application, as shown in fig. 6A, where the method may include the following steps 601 to 604:

step 601, determining an identification of the current state information.

In some embodiments, the electronic device may compare the current state information with a plurality of pre-stored state information, so as to find target state information matched with the current state information, and use an identifier corresponding to the target state information as an identifier of the current state information.

Step 602, obtaining a set of target parameter values corresponding to the identifier from a plurality of sets of parameter values of the fitting function stored in advance; the parameter values are obtained by curve fitting of sample compensation coefficients corresponding to a plurality of different frequencies obtained under corresponding state information;

The set of target parameter values comprises a first set and/or a second set, wherein the first set is obtained by performing curve fitting on amplitude sample compensation coefficients corresponding to a set of different frequencies, and the second set is obtained by performing curve fitting on phase sample compensation coefficients corresponding to the set of different frequencies;

the number set is the first number set or the second number set; in some embodiments, the set of numbers includes fitting coefficients of the fitting function;

alternatively, in other embodiments, the set of numbers includes the fitting coefficients and a fitting error, the fitting error being determined from an error between a fitting function value at least one frequency and a sample compensation coefficient; therefore, a more accurate target compensation coefficient can be obtained, so that the quality of a compensated signal is improved, and the communication transmission performance is further improved.

It will be appreciated that the accuracy of the target compensation coefficient obtained by the fitting function shown in equation 1 above may not meet the requirements of practical applications, and that further accuracy corrections may be made to the fitting function by fitting errors. The fitting error formula between the amplitude fitting function value and the corresponding amplitude sample compensation coefficient is set as the following formula 3, and the fitting error formula between the phase fitting function value and the corresponding phase sample compensation coefficient is set as the following formula 4:

For DeltaA _i (f) And

quantization is performed, and the fitting errors of the quantized amplitude compensation coefficient and phase compensation coefficient are respectively marked as delta A _i (f) And->

The final amplitude target compensation coefficient can be found according to the following equations 5 and 6

And phase target compensation coefficient->

Although for the fitting error DeltaA _i (f) And

will require additional storage space but with compensation coefficients +.>

And->

In comparison, the error ΔA is usually _i (f) And->

The number of bits required for quantization is typically lower than the number of quantization bits of the compensation coefficient, so that quantization of the fitting error can still save some memory space.

Step 603, determining a target compensation coefficient of each subcarrier of the wireless signal according to the fitting function and the set of target parameter values;

step 604, compensating the corresponding sub-carrier in the wireless signal by using the target compensation coefficient of each sub-carrier to obtain a target signal.

With the advent of the 5G era, the radio frequency module is more and more complex and the design difficulty is more and more due to the need to support complex characteristics such as extremely complex frequency bands, bandwidths, carrier aggregation and/or high-order modulation (e.g. 256 quadrature amplitude modulation (Quadrature Amplitude Modulation, QAM)), multiple input multiple output (Multi Input Multi Output, MIMO) and the like. These characteristics are increasingly stringent in terms of performance requirements for antenna tuners, analog filters, low noise amplifiers, and digital-to-analog/analog converters. The characteristics of carrier aggregation, MIMO and the like in turn multiply the number of related devices. Achieving these functions in a limited space means that the volume requirements of the associated devices are getting smaller and smaller. For example, in the standard of the 3gpp 5G r15 version, the frequency bands in the sub6G range are 32, and the frequency bands of the millimeter wave are 4; the MIMO aspect needs to support 4×4MIMO, up to 8×8MIMO. As such, the number of related devices in the rf module inevitably increases in large scale, which means higher development difficulty and cost. According to the disclosed data, the cost of the radio frequency module used by the 5G mobile phone is generally 3 times higher than that of the 4G mobile phone, and the average cost is over $50.

In the embodiment of the present application, since the first number set or the second number set in the target parameter value set of the fitting function is obtained by performing curve fitting according to the sample compensation coefficients corresponding to different frequencies, according to the fitting function and the set of target parameter values, a relatively accurate target compensation coefficient of each subcarrier of the wireless signal can be obtained; when the target compensation coefficient of each subcarrier is utilized to compensate the corresponding subcarrier in the wireless signal, a target signal with smaller distortion can be obtained, and certain performance loss in the signal processing process is compensated; therefore, for the design of some digital filters needed in the digital signal processing process, relevant design indexes (such as amplitude attenuation rate in a pass band and the like) can be moderately relaxed according to actual conditions, and the design difficulty of the digital filters is reduced. For related physical devices (such as a digital-to-analog converter, a low noise amplifier, an analog filter, a power amplifier or an antenna tuner and the like) of the radio frequency module, the technical scheme of the embodiment of the application can effectively reduce the performance threshold and the design difficulty of the related physical devices, thereby reducing the product cost.

It will be appreciated that in the case where the wireless signal is a frequency domain signal, the signal may be directly compensated through

steps

603 and 604 of the above embodiment. In the case that the wireless signal is a time domain signal, the process of compensating the wireless signal, as shown in fig. 6B, may include the following steps 611 to 613:

Step 611, determining a target compensation coefficient of each subcarrier of the frequency domain signal to be compensated according to the fitting function and the set of target parameter values;

step 612, compensating the corresponding sub-carrier in the frequency domain signal to be compensated by using the target compensation coefficient of each sub-carrier, to obtain a compensated frequency domain signal;

step 613, converting the compensated frequency domain signal to a time domain, to obtain the target signal.

It will be appreciated that the rf module typically processes the signal in the time domain, and that the processing of the signal by physical devices in the rf module inevitably introduces distortion. In the embodiment of the present application, if the wireless signal is a time domain signal, the signal to be detected may be converted into a frequency domain by DFT or FFT, and then the signal is compensated in the frequency domain; therefore, the wireless signal compensation method can compensate signal distortion in the radio frequency processing process, so that the signal quality is further improved, and the communication transmission performance is further improved.

In order to ensure the accuracy of the sample compensation coefficient, so as to improve the quality of the compensated signal when applied, and further improve the communication transmission performance, in some embodiments, as shown in fig. 7, the method for determining the amplitude sample compensation coefficient or the phase sample compensation coefficient may include the following steps 701 to 710:

In step 701, N original compensation coefficients corresponding to a specific frequency are obtained, where N is an integer greater than 1, and the N original compensation coefficients are obtained by performing N experiments on a signal of the specific frequency under preset state information.

In some embodiments, taking the wireless signal transmitting end as an example, the original compensation coefficient may be determined by the following steps 7011 to 7017, where the original compensation coefficient may be a phase original compensation coefficient, or may be an amplitude original compensation coefficient:

in step 7011, a standard baseband frequency domain digital signal S (f) is prepared in advance. It is understood that the standard S (f) refers to a distortion-free signal.

Step 7012, performing inverse discrete digital fourier transform (Inverse Discrete Fourier Transform, IDFT) or inverse fast digital fourier transform (Inverse Fast Fourier Transform, IFFT) on S (f), converting the frequency domain signal S (f) into a time domain signal;

step 7013, transmitting the time domain signal to a radio frequency module, and converting the time domain signal into a radio frequency signal by the radio frequency module

Step 7014, transmitting radio frequency signal to radio frequency module by standard receiver

Performing reception detection assuming that the received time domain digital baseband signal is +. >

The definition of a standard receiver is herein defined as a wireless signal receiving device, program or method that is capable of recovering a radio frequency signal transmitted by a radio frequency module to a baseband signal without introducing any additional signal loss or distortion;

step 7015, pair

Performing DFT conversion to convert it into frequency domain signal +.>

I.e. < ->

Step 7016, the equivalent frequency domain channel response is obtained, typically using the formula

Calculating equivalent frequency domain channel response, wherein the channel response is equivalent channel response introduced by signal processing operation related to a signal transmission link and related physical devices, and the response carries amplitude distortion information and phase distortion information introduced on the whole signal transmission link;

step 7017, the amplitude original compensation coefficient and the phase original compensation coefficient of the frequency domain are obtained according to H (f).

And repeating the steps 7011 to 7017 for N times, so that N amplitude original compensation coefficients and N phase original compensation coefficients corresponding to the wireless signal transmitting end can be obtained.

In some embodiments, taking the wireless signal receiving end as an example, the original compensation coefficient may be determined by the following steps 7111 to 7117, where the original compensation coefficient may be a phase original compensation coefficient, or may be an amplitude original compensation coefficient:

Step 7111, preparing a standard time-domain analog RF digital signal s in advance _RF (t). It will be appreciated that the standard s _RF (t) refers to a distortion-free signal.

Step 7112, standard s _RF (t) passing s through the receiving path of antenna, RF module, etc _RF (t) conversion to baseband time domain signals

Step 7113 of

Performing DFT or FFT conversion to convert into frequency domain signal +.>

I.e. < ->

Step 7114, the standard time domain analog radio frequency digital signal s is processed by the standard radio frequency receiver _RF (t) receiving, converting the signal into a standard digital baseband time domain signal s (t). A standard radio frequency receiver is defined herein as a wireless signal receiving device, program or method that is capable of converting an analog radio frequency signal to a digital baseband signal without introducing any additional signal loss and distortion.

Step 7115, performing DFT or FFT on S (t), converting it into a frequency domain signal S (f), i.e., S (f) =dft (S (t));

step 7116, the frequency domain channel response of the radio frequency module is obtained, generally using the formula

Calculating equivalent frequency domain channel response, whichThe channel response is equivalent channel response introduced by signal receiving link related signal processing operation and related physical devices, and the response comprises amplitude distortion information and phase distortion information introduced on the whole signal receiving path;

Step 7117, the amplitude original compensation coefficient and the phase original compensation coefficient of the frequency domain are obtained according to H (f).

And repeating the steps 7111 to 7117 for N times to obtain N amplitude original compensation coefficients and N phase original compensation coefficients corresponding to the wireless signal receiving end.

Step 702, determining the degree of dispersion of the N original compensation coefficients.

In embodiments of the present application, the parameters characterizing the degree of discretization may be varied, such as variance, standard deviation, polar or mean deviation, etc.

Step 703 determining whether the degree of dispersion satisfies an aggregation condition; if so, go to step 704; otherwise, step 705 is performed.

In some embodiments, the aggregation condition is that the degree of dispersion is less than or equal to a particular threshold. In other embodiments, the aggregation condition is that a plurality of different degrees of dispersion of the N original compensation coefficients are less than or equal to the corresponding threshold values. For example, at least two of the following N original compensation coefficients are less than or equal to the corresponding threshold: variance, standard deviation, and extreme difference.

Step 704, determining the sample compensation coefficient according to the average value of the N original compensation coefficients.

In some embodiments, the average of the N original compensation coefficients may be directly taken as the sample compensation coefficient; in other embodiments, the product of the mean value and a constant may also be used as the sample compensation coefficient.

Step 705, determining a deviation value between each original compensation coefficient and a mean value of the N original compensation coefficients;

step 706, discarding the compensation coefficients whose deviation values do not meet the deviation condition from the N original compensation coefficients, to obtain M original compensation coefficients, where M is smaller than N;

in some embodiments, the deviation condition is: the deviation value of the amplitude original compensation coefficient is smaller than a first threshold value, and the deviation value of the phase original compensation coefficient is smaller than a second threshold value.

For example, the first threshold is

The second threshold is->

Wherein i represents +.under the status information i>

A threshold for an amplitude compensation coefficient, the value being greater than 0; />

Is a phase compensation coefficient threshold, the value is greater than 0; />

Standard deviation +.f representing N original compensation coefficients of amplitude>

Representing the standard deviation of the N phase raw compensation coefficients.

It is understood that the deviation condition is set such that the deviation value of the amplitude original compensation coefficient is smaller than the first threshold value, and the deviation value of the phase original compensation coefficient is smaller than the second threshold value; therefore, more accurate original compensation coefficients can be screened, so that more accurate sample compensation coefficients can be obtained, signal distortion can be better compensated, and communication transmission performance is further improved.

Step 707 of determining whether the degree of dispersion of the M original compensation coefficients satisfies the aggregation condition; if so, go to step 708; otherwise, go to step 709;

step 708, determining the sample compensation coefficient according to the average value of the M original compensation coefficients.

Step 709, redetermining the deviation value between each coefficient of the M original compensation coefficients and the mean value of the M original compensation coefficients;

and step 710, discarding the coefficient of which the redetermined deviation value does not meet the deviation condition in the M original compensation coefficients until the degree of dispersion of the discarded residual compensation coefficients meets the aggregation condition, and determining the sample compensation coefficient according to the average value of the residual compensation coefficients.

In the embodiment of the application, when the N original compensation coefficients are utilized to determine the sample compensation coefficient, firstly removing the compensation coefficient which is far away from the average value of the N original compensation coefficients, iterating in such a way until the discrete degree of the residual original compensation coefficient meets the position of the aggregation condition, and determining the sample compensation coefficient according to the average value of the residual original compensation coefficient; therefore, a more accurate sample compensation coefficient can be obtained, so that the signal compensation quality is further improved, and the communication transmission performance is further improved.

An embodiment of the present application further provides a wireless signal compensation method for compensating a baseband frequency domain signal generated by a signal generating circuit, and fig. 8 is a schematic implementation flow chart of the wireless signal compensation method according to the embodiment of the present application, as shown in fig. 8, where the method may include the following steps 801 to 805:

step 801, a wireless signal transmitting terminal obtains a set of target parameter values of a corresponding fitting function according to current state information; the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation, wherein the first set is obtained by performing curve fitting on amplitude sample compensation coefficients corresponding to a set of different frequencies, and the second set is obtained by performing curve fitting on phase sample compensation coefficients corresponding to the set of different frequencies;

in some embodiments, for the current state information in step 801, at least one of the following may be included: signal frequency band, carrier bandwidth, carrier aggregation number, baseband sampling frequency, signal transmitting power and equipment temperature of the wireless signal transmitting end.

The signal generating circuit may be a processor, such as a CPU or a digital signal processor (Digital Signal Processor, DSP), or may be a hardware accelerator. The parameter values corresponding to the same frequency are different from the parameter values of the fitting function stored in the wireless signal transmitting end and the parameter values of the fitting function stored in the wireless signal receiving end, because the obtained original compensation coefficient is different in process. For the procedure of determining the original compensation coefficient by the wireless signal transmitting end and the procedure of determining the original compensation coefficient by the wireless signal receiving end, an embodiment has been given above, and thus will not be described herein.

Step 802, the wireless signal transmitting end determines a target compensation coefficient of at least one frequency component of the baseband frequency domain signal according to the fitting function and the set of target parameter values.

For the wireless signal transmitting terminals of the 4G and 5G systems, the frequency component is the center frequency of the subcarrier. The baseband frequency domain signal to be compensated may be diverse. For example, the baseband frequency domain signal to be compensated is PUSCH, PUCCH, PRACH or SRS.

The at least one frequency component may be part or all of the frequency components in the baseband frequency domain signal to be compensated. If it is part of the signal, it is, for example, a frequency component having relatively serious distortion in the signal. In implementation, the degree of distortion for each frequency component may be determined, and frequency components having a degree of distortion greater than a particular threshold may be compensated.

Step 803, the wireless signal transmitting end compensates the corresponding frequency component in the baseband frequency domain signal to be compensated by using the target compensation coefficient of each frequency component to obtain a target signal;

step 804, the wireless signal transmitting end sequentially performs baseband processing and radio frequency processing on the target signal to obtain a radio frequency signal;

in step 805, the wireless signal transmitting end transmits the radio frequency signal to the wireless signal receiving end through an antenna.

The description of the method embodiment of the wireless signal transmitting end corresponding to fig. 8 is similar to the description of the other method embodiments, and has similar beneficial effects to the other method embodiments. For technical details not disclosed in the method embodiment of the wireless signal transmitting end corresponding to fig. 8, please refer to the description of the other method embodiments described above for understanding.

An embodiment of the present application further provides a wireless signal compensation method for compensating a received baseband frequency domain signal, and fig. 9 is a schematic implementation flow chart of the wireless signal compensation method of the embodiment of the present application, as shown in fig. 9, where the method may include the following steps 901 to 906:

step 901, a wireless signal receiving end performs radio frequency processing on a received radio frequency signal to obtain a baseband time domain signal;

in step 902, the wireless signal receiving end converts the baseband time domain signal to a frequency domain, so as to obtain a baseband frequency domain signal.

For example, the wireless signal receiving end may convert the time domain signal to the frequency domain by DFT or FFT or the like.

Step 903, the wireless signal receiving end obtains a set of target parameter values of the corresponding fitting function according to the current state information; the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation, wherein the first set is obtained by performing curve fitting on amplitude sample compensation coefficients corresponding to a set of different frequencies, and the second set is obtained by performing curve fitting on phase sample compensation coefficients corresponding to the set of different frequencies.

In some embodiments, for the current state information in step 903, at least one of the following may be included: signal frequency band, carrier bandwidth, carrier aggregation number, baseband sampling frequency, signal receiving power and equipment temperature of the signal receiving end.

In step 904, the wireless signal receiving end determines a target compensation coefficient of at least one frequency component of the baseband frequency domain signal according to the fitting function and the set of target parameter values.

For the wireless signal receiving terminals of the 4G and 5G systems, the frequency component is the center frequency of the subcarrier. The at least one frequency component may be part or all of the frequency components in the baseband frequency domain signal. If it is part of the signal, it is, for example, a frequency component having relatively serious distortion in the signal.

Step 905, the wireless signal receiving end compensates the corresponding frequency component in the baseband frequency domain signal by using the target compensation coefficient of each frequency component to obtain a target signal;

in step 906, the wireless signal receiving end performs baseband processing on the target signal.

The description of the method embodiment of the wireless signal receiving end corresponding to fig. 9 is similar to the description of the other method embodiments, and has similar beneficial effects to the other method embodiments. For technical details not disclosed in the method embodiment of the corresponding wireless signal receiving end in fig. 9, please refer to the description of the other method embodiments above for understanding.

The embodiment of the application provides a numerical value determining method which can be applied to an information interaction process between network equipment and a terminal, namely, can be applied to the network equipment in a wireless communication system and can be applied to the terminal in the wireless communication system. The method can also be applied before information interaction, namely in an offline stage, and in such a scene, the electronic device for implementing the method can be various, for example, a mobile terminal (such as a mobile phone, a tablet computer and the like), a notebook computer, a desktop computer, a server and the like which have information processing capability.

Fig. 10 is a schematic flowchart of an implementation of a numerical value determining method according to an embodiment of the present application, as shown in fig. 10, the method may include the following steps 101 to 103:

step 101, determining a group of amplitude sample compensation coefficients and phase sample compensation coefficients corresponding to different frequencies under any preset state information.

It will be appreciated that the amplitude sample compensation coefficients corresponding to the same frequency are different and the phase sample compensation coefficients are different for different state information. In the same state information, the amplitude sample compensation coefficient for the wireless signal transmitting end and the amplitude sample compensation coefficient for the wireless signal receiving end of the same frequency are also different. As does the phase sample compensation coefficient. Therefore, when the communication device is used, namely when the corresponding frequency component is compensated, the distortion of the frequency component can be compensated to the greatest extent, so that the communication performance is better improved, and the communication time delay is shortened.

In some embodiments, the preset status information may include at least one of: signal frequency band, carrier bandwidth, number of carrier aggregations, baseband sampling frequency, signal transmit power or signal receive power, temperature of the device performing the method.

The determination methods for the phase sample compensation coefficient and the amplitude sample compensation coefficient have been given above as possible methods, and thus are not described in detail herein.

102, performing curve fitting on each amplitude sample compensation coefficient to obtain a first number set in a group of parameter values of a fitting function;

step 103, performing curve fitting on each phase sample compensation coefficient to obtain a second set of parameter values; the set of parameter values is used for determining a target compensation coefficient of at least one frequency component of the wireless signal under the preset state information.

It should be noted that, the electronic device may execute step 102 first, and then execute step 103; step 103 may also be performed before step 102 is performed;

steps

102 and 103 may also be performed in parallel.

The description of the method embodiment corresponding to fig. 10 above is similar to that of the other method embodiments described above, with similar advantageous effects as the other method embodiments described above. For technical details not disclosed in the corresponding method embodiment of fig. 10, please refer to the description of the other method embodiments described above for understanding.

As can be appreciated, various signal processing procedures, including filtering, and physical devices such as digital-to-analog converters, analog filters, power amplifiers, and tuners in antennas, inevitably introduce signal distortions, typically manifested as non-planarity of the frequency domain amplitude response and non-linearity of the phase response within the effective bandwidth of the signal, where the non-planarity of the frequency domain amplitude response is manifested as non-planarity as shown in fig. 11, where the actual amplitude response curve is compared to the ideal amplitude response curve; the nonlinearity of the frequency domain phase response is shown in fig. 12, where the actual phase response curve is nonlinear compared to the ideal phase response curve.

It should be noted that these two drawings, and all similar schematic diagrams in the embodiments of the present application, are merely for illustrating the technical background and principles of the present application, and not all relevant curves are limited to this shape. Such frequency domain distortion may affect the quality of the transmitted signal or the received signal to some extent, affecting the performance of the communication transmission. And the frequency domain distortion also changes due to factors such as different working frequency bands, signal bandwidths, transmission power, working temperature and the like.

In general, a method for correcting such frequency domain distortion at a wireless signal transmitting end is to multiply a frequency domain of a signal in a baseband module by a target compensation coefficient to compensate for the distortion of the radio frequency module. Before the application, the amplitude compensation coefficient and the phase compensation coefficient of each frequency component obtained in advance need to be saved.

Similarly to the wireless signal transmitting side, at the wireless signal receiving side, it is also necessary to save the obtained amplitude compensation coefficient and phase compensation coefficient for each frequency component in advance. In application, the uncompensated baseband frequency domain signal output by the rf module is typically multiplied by a target compensation factor.

In the related art, there are the following disadvantages:

1. the related scheme needs to store the compensation coefficient of the whole frequency domain bandwidth, which requires a large memory overhead;

2. the correlation scheme cannot flexibly support different frequency domain compensation granularities (frequency domain resolution).

Based on this, an exemplary application of the embodiments of the present application in one practical application scenario will be described below.

The following description is made for the calculation process of the frequency domain compensation coefficient in the embodiment of the present application:

fig. 13 is a schematic diagram of a process for calculating a frequency domain compensation coefficient of a transmitting end according to an embodiment of the present application, as shown in fig. 13, including the following steps 131 to 137:

Step 131, IDFT or IFFT is performed on the baseband standard frequency domain signal S (f), so as to convert S (f) into a time domain, thereby obtaining a baseband standard time domain signal;

step 132, the time domain signal obtained in step 131 is sent to a radio frequency module, and the time domain signal is converted into a radio frequency signal by the radio frequency module;

step 133, receiving and detecting the radio frequency signal obtained in step 132 by a standard receiver to obtain a receiving side time domain signal;

step 134 of performing DFT or FFT on the time domain signal obtained in step 133 to obtain a receiving side frequency domain signal

Step 135, calculate equivalent frequency domain channel response

Step 136, calculating a frequency domain amplitude compensation coefficient and a frequency domain phase compensation coefficient according to the channel response obtained in step 135;

and step 137, fitting the obtained frequency domain amplitude compensation coefficients and frequency domain phase compensation coefficients under a plurality of different frequencies respectively.

It should be noted that, step 137 is a main innovation point of the embodiment of the present application.

Fig. 14 is a schematic diagram of a process for calculating the frequency domain compensation coefficient of the receiving end, as shown in fig. 14, which may include the following steps 141 to 147:

step 141, converting the standard radio frequency time domain signal into a baseband time domain signal by a radio frequency module;

Step 142, performing DFT or FFT on the baseband time domain signal obtained in step 141 to obtain a baseband frequency domain signal

Step 143, receiving and processing the standard radio frequency time domain signal by a standard radio frequency receiver, and outputting a standard baseband time domain signal;

step 144, performing DFT or FFT on the standard baseband time domain signal obtained in step 143 to obtain a standard baseband frequency domain signal S (f);

step 145, according to

And S (f) calculating equivalent channel response +.>

Step 146, calculating a frequency domain amplitude compensation coefficient and a frequency domain phase compensation coefficient according to the channel response obtained in step 145;

step 147, fitting the obtained frequency domain amplitude compensation coefficients and frequency domain phase compensation coefficients under a plurality of different frequencies respectively.

It should be noted that step 147 is a main innovation point of the embodiment of the present application.

The specific calculation steps of the frequency domain compensation coefficient are as follows.

1. And determining relevant parameters under the current configuration state (namely the current state information), and recording the current configuration number as i. These relevant configurations are fully considered in order to be able to obtain the exact compensation factor in each configuration to the greatest extent.

2. According to the method shown in fig. 13 or 14, the frequency domain amplitude compensation coefficient a (f) and the phase compensation coefficient in the configuration state i are obtained

The specific process is as follows.

(1) The equivalent channel response H (f) is calculated according to the following equation 7:

(2) The amplitude compensation coefficient a (f) should be able to correct the frequency domain amplitude distortion brought about by the channel response H (f). The compensated channel amplitude response should be a constant value within the passband. The formula for calculating the amplitude compensation coefficient may be the following formula 8, but is not limited thereto:

where H (f) is the equivalent channel response in fig. 13 or 14.

(3) Phase compensation coefficient

The phase distortion caused by the channel response H (f) should be rectified. The equivalent phase response after frequency domain phase compensation should be a straight line. Then the formula for calculating the amplitude compensation coefficient is as follows formula 9:

the phase compensation coefficient obtained using this formula will be constant at 0 after application, after compensation, for the phase response of the equivalent channel.

In practical communication systems, the equivalent channel response of the signal transmit path or the receive path may have time domain delays in addition to amplitude and phase distortions. The delay in the time domain appears in the frequency domain as a linear function of the slope of the frequency as a non-0 value. The amount of delay in this time domain will be eliminated using equation 9. This is beneficial in certain application scenarios. In some special communication scenarios, however, it may be desirable to preserve this time-domain delay, and then appropriate adjustments to the compensation function of the phase response may be required. If the time delay of the time domain introduced by the channel of the radio frequency module is Δt, the formula for calculating the phase compensation coefficient should be updated as the following formula 10:

3. Repeating the experiment for N times (generally N > 1) according to the definition method of the step 2 to obtain N frequency domain compensation coefficient samples. Let the amplitude compensation coefficient and the phase compensation coefficient obtained at the jth time be respectively denoted as A _ij (f) And

wherein j is more than or equal to 1 and N is more than or equal to N.

4. A obtained from N trials in step 3 _ij (f) And

the original compensation coefficients described in the previous embodiments) and the phase compensation coefficients (i.e., the phase sample compensation coefficients described in the previous embodiments) are determined. Alternatively (but not limited to) one method of determining the exact frequency domain amplitude compensation coefficient and phase compensation coefficient is to first rely on A _ij (f) And->

Discarding samples far away from most samples, and then re-averaging the rest samples, wherein the new average value is used as a more accurate frequency domain amplitude compensation coefficient and a phase compensation coefficient, which are respectively marked as->

And->

Alternatively (but not limited to this method), one procedure to discard samples that deviate significantly and find accurate frequency domain amplitude compensation coefficients and phase compensation coefficients is as follows:

(1) The average value, variance and standard deviation of N groups of amplitude compensation coefficients and phase compensation coefficient samples are obtained:

-an average value of amplitude compensation coefficients:

-amplitude compensation coefficient variance:

-standard deviation of amplitude compensation coefficients:

-phase compensation coefficient average value:

-phase compensation coefficient variance:

-standard deviation of phase compensation coefficients:

(2) Setting an amplitude compensation coefficient threshold

And phase compensation coefficient threshold->

Rejection cannot meet the condition +.>

And->

I.e. samples that deviate farther from the average are discarded. Residual amplitude compensation coefficient and phase compensation systemThe number of samples was recorded as A' _ij (f) And->

(3) Assuming that the number of samples of the amplitude compensation coefficient and the phase compensation coefficient remaining are N ', i.e., 1.ltoreq.j.ltoreq.n', the average value of the amplitude compensation coefficient and the phase compensation coefficient of the remaining samples can be calculated according to the following formulas 17 and 18:

obtained here

And->

Namely, the frequency domain amplitude compensation coefficient and the phase compensation coefficient which are more accurate under the configuration with the number of i are statistically estimated. Optionally, if necessary, the steps (1) and (2) may be repeated, that is, the samples that deviate far from most of the samples are discarded by the same method for the remaining samples, and iterated for several times until the distribution of the sample sets meets the requirement.

5. The embodiment of the application adopts fitting functions to respectively pair

And->

The fitting is carried out by the method, only the coefficients of the fitting function are needed to be stored, and under the normal condition, the number of the coefficients of the fitting function is far smaller than the number of subcarriers or PRB, so that the storage space can be reduced on the basis of ensuring the compensation precision.

In generalGround, compensation function

And->

The independent variable f has the characteristics of smoothness, continuity, conductivity and the like. When the fitting method is selected, a fitting function is selected based on these characteristics. For convenience of implementation, polynomial interpolation fitting with lower implementation complexity is generally selected (but is not limited to polynomial interpolation fitting, and can be any feasible fitting algorithm).

If the accuracy of the fitting function obtained in the step 5 cannot meet the requirement, further accuracy correction can be performed on the fitting function by calculating the error between the fitting function and the original function. For a description of this part, reference may be made to the description of the part where formulas 3 to 6 are located above.

If the accuracy of the fitting function in step 5 above can be met, then the final amplitude fitting function and phase fitting function are as follows formulas 19 and 20:

6. and (3) traversing different configurations in the step (1), and repeating the processes of the steps (1) to (5) to obtain a fitting function of frequency domain amplitude compensation and a fitting function of phase compensation under different configurations.

Here, the application procedure of the embodiment of the present application will be described by taking a Modem of a wireless communication terminal as an example. However, this does not mean that the technical solution of the embodiment of the present application can only be applied to a Modem. The technical scheme of the embodiment of the application can be applied to any communication system capable of compensating amplitude distortion and phase distortion in a frequency domain.

The application process of the technical solution of the embodiment of the present application is described below.

1. After obtaining the fitting functions in the various configuration states according to the scheme described above, the parameter values of all fitting functions are saved. Specifically, when the method is implemented in a Modem of a wireless communication terminal (such as a mobile phone, etc.), the storage method can be flexibly considered according to the total data size of the parameter values of all fitting functions. It can be stored in the memory of the microcontroller in the Modem chip, which is suitable for the scenario where the total amount of parameter values of all fitting functions is small. And the method can be stored in a memory (such as a double-rate synchronous dynamic random access memory) outside the Modem chip, and is suitable for a scene with a large total parameter value of all fitting functions.

2. And selecting a group of target parameter values of the corresponding fitting function according to the configuration of the related environment, network parameters and the like. If the frequency domain compensation operation is implemented by a hardware accelerator, the selected set of target parameter values is configured into corresponding hardware registers. The hardware accelerator calculates the amplitude compensation coefficient and the phase compensation coefficient of the frequency domain according to the set of target parameter values of the configured fitting function. Assuming that the resulting fitting function of amplitude and the fitting function of phase are respectively

And->

The operation of the frequency domain compensation is then the multiplication of the frequency domain data of the signal by + ->

If the baseband data to be compensated is frequency domain data, the baseband data can be directly compensated, and DFT conversion is not needed. If the baseband data to be compensated is time domain data, the baseband data is converted into a frequency domain through DFT or FFT and then compensation operation is carried out.

3. When the working environment (such as temperature) of the wireless communication terminal, relevant network parameters (such as frequency point, bandwidth and the like) change, the parameter values of the corresponding fitting function are selected again according to the new configuration.

Fig. 15 is a schematic diagram of a process of performing frequency domain compensation at a wireless signal transmitting end, as shown in fig. 15, the process may include the following steps 151 to 155:

step 151, selecting a frequency domain compensation fitting formula according to the current configuration state;

step 152, calculating a frequency domain compensation coefficient by using a fitting formula;

153, performing frequency domain compensation operation on the baseband frequency domain signal by using the frequency domain compensation coefficient to obtain a compensated baseband frequency domain signal;

step 154, performing IDFT or IFFT on the compensated baseband frequency domain signal obtained in step 153 to obtain a compensated baseband time domain signal;

step 155, inputting the compensated baseband time domain signal obtained in step 154 to a radio frequency module to obtain a compensated radio frequency signal.

Steps 151 to 153 are application parts of the technical solution in the embodiments of the present application.

Fig. 16 is a schematic diagram of a process of performing frequency domain compensation at a wireless signal receiving end, as shown in fig. 16, the process may include the following steps 161 to 166, in which steps 163 to 165 are application parts of the technical solution in the embodiments of the present application.

Step 161, processing the air interface radio frequency signal through the radio frequency module to obtain a baseband time domain signal;

step 162, performing DFT or FFT on the baseband time domain signal output by the radio frequency module to obtain an uncompensated baseband frequency domain signal;

step 163, selecting a frequency domain compensation fitting formula according to the current configuration state;

step 164, calculating the frequency domain compensation coefficient using the fitting formula;

step 165, performing frequency domain compensation operation on the uncompensated baseband frequency domain signal obtained in step 162 by using the frequency domain compensation coefficient to obtain a compensated baseband frequency domain signal;

step 166, the compensated baseband frequency domain signal is subjected to subsequent baseband signal processing.

The frequency domain amplitude response curve after compensation has flatness as shown in fig. 17 for the frequency domain amplitude compensation effect.

It can be appreciated that under ideal conditions, the frequency domain phase compensation effect is as shown in fig. 18 and 19, wherein:

Fig. 18 shows the frequency domain phase compensation effect without considering the situation of retaining the equivalent channel delay, that is, the delay introduced by the transmitting path or the receiving path is eliminated through frequency domain compensation, and the frequency domain phase response of the equivalent channel after compensation is constant at 0.

Fig. 19 shows the effect of frequency domain phase compensation in a scenario where the delay of the rf module is preserved, where the frequency domain compensation module compensates only the nonlinear response, and the equivalent frequency domain phase response after compensation is a linear function with respect to frequency.

The technical scheme of the embodiment of the application has the following beneficial effects:

1. according to the embodiment of the application, the fitting function is adopted to fit the compensation coefficient of the frequency domain amplitude and the compensation coefficient of the phase, only the parameter value of the fitting function is needed to be stored, the large-scale memory expense caused by storing all the compensation coefficients of the whole bandwidth is avoided, and the storage capacity is greatly reduced on the basis of guaranteeing the compensation precision. Taking the Modem chip as an example, the area on the Modem chip can be effectively saved.

2. The fitting function used in the embodiments of the present application is a continuous function with an explicit analytical expression. The frequency domain amplitude compensation coefficient and the phase compensation coefficient are calculated by adopting the fitting function, the frequency domain amplitude compensation coefficient and the phase compensation coefficient are not limited by bandwidth, subcarrier number, subcarrier bandwidth and the like, and different frequency domain compensation granularity (frequency domain resolution), different bandwidth and other scenes can be flexibly supported on the basis of not increasing extra storage and calculated amount. For example, 5G introduces characteristics of dynamic flexible and configurable fractional Bandwidth (Bandwidth Part), subcarrier Bandwidth, and the like, and the requirements on the frequency range of frequency domain compensation and the granularity of frequency compensation (frequency resolution) are flexible and changeable, so that the technical scheme of the embodiment of the application can support the flexible configuration. For example, when the bandwidth required to be compensated increases, if the frequency domain compensation granularity is not changed, the number of compensation coefficients of the existing scheme will increase in equal proportion with the increase of the compensation bandwidth. Using polynomial interpolation fitting, the degree of the fitted polynomial may remain unchanged or only slightly increased, or only one or a few polynomial segments may be added, and the storage overhead may not be increased or only slightly increased, with the amount of added storage being much smaller than the amount of frequency domain bandwidth increase.

Taking the maximum number 273 of PRBs of a single carrier currently supported by a 5G system as an example, the comparison between the technical solution of the embodiment of the present application and the existing solution is shown in the following table 1:

TABLE 1

Here, it is assumed that granularity (frequency resolution) of frequency domain compensation is one subcarrier (each PRB contains 12 subcarriers), and frequency domain amplitude compensation coefficients and phase compensation coefficients of the individual subcarriers are each 16-bit quantized. Then the total memory required for a single carrier compensation coefficient for a particular configuration is 273 x 12 x 16 x 2= 104832 bits=13104 bytes for the existing scheme.

The technical scheme of the embodiment of the application is assumed to carry out interpolation fitting on the frequency domain amplitude compensation coefficient and the phase compensation coefficient by using an interpolation polynomial, wherein the interpolation polynomial of the amplitude and the interpolation polynomial of the phase meet the following conditions:

(1) Single expression (not segmented);

(2) Each coefficient is 16-bit quantized;

(3) The highest degree is n, i.e. the interpolation polynomial has at most (n+1) coefficients;

the amount of memory required to store the coefficients of the amplitude and phase interpolation polynomials for a particular configuration is then: (n+1) 2×16 bits= (n+1) 32 bits= (n+1) 4 bytes.

Obviously, as long as (n+1) x 4<13104, that is, n <3275, the polynomial interpolation is used to fit the amplitude compensation coefficient and the phase compensation coefficient of the frequency domain, the storage amount of the correlation coefficient can be reduced. This is satisfied in most cases, and typically n has a value much smaller than 3275 (typically n is a single digit number) as described herein. Namely, the technical scheme of the embodiment of the application can greatly reduce the storage space required by frequency domain amplitude compensation and phase compensation.

3. The technical scheme of the embodiment of the application is that at the transmitting end of the wireless signal, the baseband module pre-compensates the amplitude distortion and the phase distortion of the signal frequency domain introduced on the transmitting link, so that the distortion caused by the relevant signal processing process (such as various digital filtering processes) can be compensated, the performance loss caused by relevant physical devices (such as a digital-to-analog converter, a power amplifier, an antenna tuner and the like) can be compensated, and the transmitting quality of the signal can be effectively improved.

Also, compared to the related art, the amplitude compensation coefficient and the phase compensation coefficient are sampled at granularity (frequency resolution) of frequency domain compensation, that is, instead of a pair of the amplitude compensation coefficient and the phase compensation coefficient for each subcarrier, a plurality of subcarriers or a single or a plurality of PRBs corresponds to a set of the amplitude compensation coefficient and the phase compensation coefficient. According to the method and the device, the more accurate target compensation coefficient can be obtained through the fitting function and the corresponding parameter value, so that the signal transmitting quality can be further improved, and the communication transmission performance is further improved on the basis of saving the data storage space. The same is true for the receiving end of the wireless signal.

4. According to the technical scheme, at the receiving end of the wireless signal, the baseband module compensates the amplitude and phase distortion of the signal frequency domain introduced on the receiving link, so that the receiving performance of the receiver can be improved, the performance loss caused by the relevant signal processing process (such as various digital filtering processes) is compensated, and the performance defects of relevant physical devices (such as a receiving antenna, a low-noise amplifier, an analog filter, a digital-to-analog converter and the like) are compensated. For part of functional modules at the receiving end, such as a physical layer channel state indication (Channel State Indication, CSI) receiving module in a 5G Modem, the calculation accuracy of the CSI related parameters can be improved, and the performance of the whole communication system is further improved.

5. Because a certain performance loss can be compensated through frequency domain compensation, for the design of some digital filters needed in the digital signal processing process, relevant design indexes (such as amplitude attenuation rate in a passband and the like) can be moderately relaxed according to actual conditions, and the design difficulty of the digital filters is reduced. For related physical devices (such as a digital-to-analog converter, a low noise amplifier, an analog filter, a power amplifier, an antenna tuner and the like) of the radio frequency module, the technical scheme of the embodiment of the application can effectively reduce the performance threshold and the design difficulty of the related physical devices, thereby reducing the product cost.

The core innovation points of the technical scheme of the embodiment of the application are as follows:

1. according to the technical scheme, the frequency domain amplitude compensation coefficient and the phase compensation coefficient are respectively fitted by adopting the fitting function, so that the storage capacity is greatly reduced on the basis of guaranteeing the compensation precision.

2. The fitting function is adopted to fit the compensation coefficient, the limitation of bandwidth, subcarrier number, subcarrier bandwidth and the like is avoided, and different frequency domain compensation granularity (frequency resolution), different bandwidths and other scenes can be flexibly supported on the basis of not increasing extra storage and calculated amount.

3. Under the condition that the precision requirement cannot be met by simply using the fitting function, the technical scheme of the embodiment of the application adopts the scheme of further quantitatively compensating the error of the fitting function, and the compensation precision can be ensured on the basis of reducing the required storage space.

4. According to the technical scheme, the actual conditions of frequency domain amplitude response and phase response which need to be compensated under different configurations (working temperature, frequency point, bandwidth and the like) are fully considered, the compensation coefficients of the frequency domain amplitude and the compensation coefficients of the phase under different configurations and fitting functions thereof are obtained, the frequency domain distortion under different configurations is compensated, and the overall transmitting and receiving performance of the communication system under different configurations can be improved to the greatest extent.

5. When the technical scheme of the embodiment of the application compensates the frequency domain phase distortion, two schemes of reserving and not reserving the time delay of the radio frequency module are considered, and different application scenes can be covered.

Fig. 20 shows a specific embodiment of a transmitting end of a wireless communication terminal Modem in a 4G/5G system according to the technical solution of the embodiment of the present application, which may include the following steps 2001 to 2006, where shallow steps 2001 to 2003 are application portions of frequency domain compensation described in the embodiments of the present application.

Step 2001, selecting a frequency domain compensation fitting formula according to the current configuration;

step 2002, calculating a frequency domain compensation coefficient by using a fitting formula;

step 2003, performing frequency domain compensation operation on the PUSCH/PUCCH/PRACH or SRS frequency domain signal (i.e. uncompensated baseband frequency domain signal) by using the frequency domain compensation coefficient to obtain a compensated baseband frequency domain signal;

step 2004, performing IFFT on the compensated baseband frequency domain signal obtained in step 2003 to obtain a compensated baseband time domain signal;

step 2005, performing time-domain signal processing (such as Cyclic Prefix (CP), time-domain windowing, etc.) on the compensated baseband time-domain signal to obtain a frequency-domain compensated baseband time-domain signal;

in step 2006, the baseband time domain signal obtained in step 2005 is processed by a radio frequency module to obtain a radio frequency signal after frequency domain compensation.

In the signal transmission direction of the Modem, all physical layer channels or signals, including PUSCH, PUCCH, PRACH and SRS, have a frequency domain resource mapping process. I.e. the signal generation process, the signal needs to be converted into the frequency domain, for example:

in a 4G/5G system, a signal of a discrete Fourier transform spread spectrum orthogonal frequency division multiplexing (DFT Spread Spectrum Orthogonal Frequency Division Multiplexing, DFT-S-OFDM) mode is firstly generated into a time domain signal, and then is converted into a frequency domain through DFT for subsequent processing. E.g. all PUSCH, PUCCH Format 3/4/5, PRACH in 4G; PUSCH (transform precoding enabled) in 5G system, PUCCH Format 3/4, etc.

And the generated original signal is directly mapped in the frequency domain for processing by the CP-OFDM system signal in the 4G/5G system. For example, in 4G, PUCCH format0/1/2 and SRS; PUSCH (transform precoding not enabled) in 5G, PUCCH Format0/1/2, SRS, etc.

It can be seen that the baseband module in the 4G/5G system naturally has a frequency domain data processing procedure in the transmission direction. Therefore, by applying the technical scheme of the embodiment of the application, no additional DFT or FFT operation is introduced, and the system implementation complexity is not increased significantly. When the method is applied specifically, the corresponding fitting function is selected according to the actual configuration, the compensation parameters are calculated in the frequency domain, and the uplink frequency domain data are compensated. The data processing flow before and after compensation is not affected.

As shown in fig. 21, a specific embodiment of a receiving end of a wireless communication terminal in a 4G/5G system according to the technical solution of the present application may include the following steps 211 to 216, where steps 213 to 215 are specific application parts of frequency domain compensation described in the technical solution of the present application.

Step 211, processing the air interface radio frequency signal through the radio frequency module to obtain a baseband time domain signal;

step 212, performing DFT or FFT on the baseband time domain signal output by the radio frequency module to obtain an uncompensated baseband frequency domain signal;

Step 213, selecting a frequency domain compensation fitting formula according to the current environment and configuration;

step 214, calculating a frequency domain compensation coefficient by using a fitting formula;

step 215, performing frequency domain compensation operation on the uncompensated baseband frequency domain signal obtained in step 212 by using the frequency domain compensation coefficient to obtain a compensated baseband frequency domain signal;

step 216, the compensated baseband frequency domain signal is subjected to subsequent baseband processing such as PDCCH/PDSCH or synchronization/broadcast channel resource block (Synchronization Signal/Physical Broadcast Channel Block, SSB) reception demodulation, channel state indication reference symbol (Channel State Indication Reference Signal, CSI-RS) detection, and the like.

In the embodiment of the application, the application process of the technical scheme of the embodiment of the application is described by taking downlink channels and signals (including physical downlink control channels (Physical Downlink Control Channel, PDCCH), physical downlink shared channels (Physical Downlink Shared Channel, PDSCH), primary synchronization signals (Primary Synchronization Signal, PSS), secondary synchronization signals (Secondary Synchronization Signal, SSS), physical broadcast channels (Physical Broadcast Channel, PBCH), CSI-RS, and the like) of a wireless communication terminal in a 4G/5G communication system as an example.

In the signal receiving direction of the Modem, all physical layer downlink channels and signals, including PDCCH, PDSCH, PSS, SSS, PBCH, CSI-RS and the like, are mapped in the frequency domain, namely, the signal processing process of the naturally-occurring frequency domain is carried out. At the receiving end, the signals are required to be converted into the frequency domain for processing, so that the frequency domain compensation scheme of the application is applied, no additional DFT or FFT operation is introduced, and the system implementation complexity is not increased remarkably. When the method is specifically applied, the corresponding fitting function is selected according to the actual configuration, the compensation parameters are calculated in the frequency domain, and the frequency domain data are compensated. The data processing flow before and after compensation is not affected.

Based on the foregoing embodiments, the wireless signal compensation device provided in the embodiments of the present application may compensate a wireless signal, and may include each module included, and each unit included in each module, which may be implemented by a processor in an electronic device; of course, the method can also be realized by a specific logic circuit; in an implementation, the processor may be a Central Processing Unit (CPU), a Microprocessor (MPU), a DSP, a Field Programmable Gate Array (FPGA), or the like.

Fig. 22A is a schematic structural diagram of a wireless signal compensation device according to an embodiment of the present application, as shown in fig. 22A, the device 220 includes a parameter obtaining module 221, a coefficient determining module 222, and a signal compensation module 223, where:

A parameter obtaining module 221, configured to obtain a set of target parameter values of a corresponding fitting function for wireless signal compensation according to the current state information; the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation, wherein the first set is obtained by performing curve fitting on amplitude sample compensation coefficients corresponding to a set of different frequencies, and the second set is obtained by performing curve fitting on phase sample compensation coefficients corresponding to the set of different frequencies;

a coefficient determination module 222 for determining a target compensation coefficient for at least one frequency component of the wireless signal based on the fitting function and the set of target parameter values;

the signal compensation module 223 is configured to compensate the corresponding frequency component in the wireless signal by using the target compensation coefficient of each frequency component, so as to obtain a target signal.

In some embodiments, the parameter acquisition module 221 is configured to: determining the identification of the current state information; obtaining a group of target parameter values corresponding to the identification from a plurality of groups of parameter values of the fitting function which are stored in advance; the parameter values are obtained by curve fitting the sample compensation coefficients corresponding to a plurality of different frequencies obtained under corresponding state information.

In some embodiments, in the case that the wireless signal is a frequency domain signal, a coefficient determination module 222 is configured to determine a target compensation coefficient for each subcarrier of the wireless signal according to the fitting function and the set of target parameter values; the signal compensation module 223 is configured to compensate the corresponding sub-carrier in the wireless signal by using the target compensation coefficient of each sub-carrier, so as to obtain a target signal.

In some embodiments, as shown in fig. 22B, the apparatus 220 further comprises: a time-frequency conversion module 224; in the case that the wireless signal is a time domain signal, the time-frequency conversion module 224 is configured to convert the wireless signal to a frequency domain, so as to obtain a frequency domain signal to be compensated; a coefficient determining module 222, configured to determine a target compensation coefficient of each subcarrier of the frequency domain signal to be compensated according to the fitting function and the set of target parameter values; a signal compensation module 223, configured to compensate a corresponding subcarrier in the frequency domain signal to be compensated by using a target compensation coefficient of each subcarrier, so as to obtain a compensated frequency domain signal; the time-frequency conversion module 224 is further configured to convert the compensated frequency domain signal to a time domain, so as to obtain the target signal.

In some embodiments, the sample compensation coefficient is the amplitude sample coefficient or the phase sample coefficient, and the coefficient determination module 222 is further configured to: acquiring N original compensation coefficients corresponding to a specific frequency, wherein N is an integer greater than 1, and the N original compensation coefficients are obtained by carrying out N experiments on signals of the specific frequency under preset state information; and under the condition that the dispersion degree of the N original compensation coefficients meets the aggregation condition, determining the sample compensation coefficient according to the average value of the N original compensation coefficients.

In some embodiments, the coefficient determination module 222 is further configured to: determining a deviation value between each original compensation coefficient and a mean value of the N original compensation coefficients under the condition that the dispersion degree of the N original compensation coefficients does not meet an aggregation condition; discarding compensation coefficients of which the deviation values do not meet the deviation conditions in the N original compensation coefficients to obtain M original compensation coefficients, wherein M is smaller than N; and if the dispersion degree of the M original compensation coefficients meets the aggregation condition, determining the sample compensation coefficient according to the average value of the M original compensation coefficients.

In some embodiments, the coefficient determination module 222 is further configured to: if the dispersion degree of the M original compensation coefficients does not meet the aggregation condition, redefining a deviation value between each coefficient in the M original compensation coefficients and the average value of the M original compensation coefficients; discarding the coefficient of which the redetermined deviation value does not meet the deviation condition in the M original compensation coefficients until the dispersion degree of the discarded residual compensation coefficients meets the aggregation condition, and determining the sample compensation coefficient according to the average value of the residual compensation coefficients.

In some embodiments, the fitting function is a polynomial interpolation function.

In some embodiments, the number set is the first number set or the second number set; the number set comprises fitting coefficients of the fitting function; alternatively, the set of numbers includes the fitting coefficients and a fitting error, the fitting error being determined from an error between a fitting function value at least one frequency and a sample compensation coefficient.

An embodiment of the present application provides a numerical value determining apparatus, fig. 23 is a schematic structural diagram of the numerical value determining apparatus according to the embodiment of the present application, and as shown in fig. 23, the apparatus 230 may include: a sample determination module 231 and a curve fitting module 232; wherein, the liquid crystal display device comprises a liquid crystal display device,

the sample determining module 231 is configured to determine, under any preset state information, a set of amplitude sample compensation coefficients and phase sample compensation coefficients corresponding to different frequencies;

a curve fitting module 232, configured to perform curve fitting on each of the amplitude sample compensation coefficients, so as to obtain a first number set in a set of parameter values of a fitting function; performing curve fitting on each phase sample compensation coefficient to obtain a second set of parameter values;

The set of parameter values is used for determining a target compensation coefficient of at least one frequency component of the wireless signal under the preset state information.

The description of the apparatus embodiments above is similar to that of the method embodiments above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the device embodiments of the present application, please refer to the description of the method embodiments of the present application for understanding.

It should be noted that, in the embodiment of the present application, if the method is implemented in the form of a software functional module, and sold or used as a separate product, the method may also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or part contributing to the related art, and the computer software product may be stored in a storage medium, including several instructions for causing an electronic device to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, an optical disk, or other various media capable of storing program codes. Thus, embodiments of the present application are not limited to any specific combination of hardware and software.

It should be noted that, in the embodiments of the present application, the division of the modules by the wireless signal compensation device shown in fig. 22A and 22B and the numerical value determination device shown in fig. 23 is schematic, and only one logic function is divided, and another division manner may be adopted in actual implementation. In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. Or in a combination of software and hardware. For example, the wireless signal compensation device is an electronic device, fig. 24 is a schematic structural diagram of the electronic device provided in the embodiment of the present application, and as shown in fig. 24, the electronic device 240 may include: a processor 241, a numerical operation circuit 242, and a signal compensation circuit 243; wherein, the liquid crystal display device comprises a liquid crystal display device,

a processor 241, configured to obtain a set of target parameter values of a corresponding fitting function for wireless signal compensation according to current state information of the electronic device 240; the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation, wherein the first set is obtained by performing curve fitting on amplitude sample compensation coefficients corresponding to a set of different frequencies, and the second set is obtained by performing curve fitting on phase sample compensation coefficients corresponding to the set of different frequencies;

In actual products, processor 241 may be a CPU, microprocessor (MPU), DSP, or Field Programmable Gate Array (FPGA).

A value operation circuit 242 for determining a target compensation coefficient of at least one frequency component of the wireless signal according to the fitting function and the set of target parameter values;

in actual products, the numerical operation circuit 242 may be various. For example, the numerical operation circuit is a circuit constituted by an adder and a multiplier. For another example, the numerical operation circuit may be a DSP, a hardware accelerator, or the like.

The signal compensation circuit 243 is further configured to compensate the corresponding frequency component in the wireless signal by using the target compensation coefficient of each frequency component, so as to obtain a target signal.

In a practical product, the signal compensation circuit may be a multiplier, a DSP, a hardware accelerator, or the like.

The embodiment of the present application further provides a wireless signal transmitting apparatus, fig. 25 is a schematic structural diagram of the wireless signal transmitting apparatus according to the embodiment of the present application, and as shown in fig. 25, the apparatus 250 may include a processor 251, a numerical operation circuit 252, a signal compensation circuit 253, a baseband processing circuit 254, a radio frequency module 255 and an antenna 256; wherein, the liquid crystal display device comprises a liquid crystal display device,

The processor 251 obtains a set of target parameter values of a fitting function for baseband frequency domain signal compensation according to the current state information; the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation, wherein the first set is obtained by performing curve fitting on amplitude sample compensation coefficients corresponding to a set of different frequencies, and the second set is obtained by performing curve fitting on phase sample compensation coefficients corresponding to the set of different frequencies.

In an actual product, the processor 251 may be a CPU, a Microprocessor (MPU), a DSP, or a Field Programmable Gate Array (FPGA).

In some embodiments, the wireless signal transmitting apparatus further includes a wireless signal generating circuit for generating the baseband frequency domain signal, and the circuit may be a hardware accelerator, a DSP, or a CPU.

A value operation circuit 252 for determining a target compensation coefficient of at least one frequency component of the baseband frequency domain signal to be compensated based on the fitting function and the set of target parameter values.

In actual products, the numerical operation circuit 252 may be various. For example, the numerical operation circuit is a circuit constituted by an adder and a multiplier. For another example, the numerical operation circuit may be a DSP, a hardware accelerator, or the like.

The signal compensation circuit 253 is configured to compensate the corresponding frequency component in the baseband frequency domain signal to be compensated by using the target compensation coefficient of each frequency component, so as to obtain a target signal.

A baseband processing circuit 254 for performing baseband processing on the target signal;

the rf module 255 is configured to perform rf processing on the signal output by the baseband processing circuit 254, so as to obtain an rf signal.

An antenna 256 for transmitting the radio frequency signals to a wireless signal receiving device.

An embodiment of the present application provides a wireless signal receiving apparatus, fig. 26 is a schematic structural diagram of the wireless signal receiving apparatus according to the embodiment of the present application, as shown in fig. 26, the apparatus 260 may include: a radio frequency module 261, a signal conversion circuit 262, a processor 263, a numerical operation circuit 264, a signal compensation circuit 265 and a baseband processing circuit 266; wherein, the liquid crystal display device comprises a liquid crystal display device,

the radio frequency module 261 is configured to perform radio frequency processing on the received radio frequency signal to obtain a baseband time domain signal;

a signal conversion circuit 262, configured to convert the baseband time domain signal to a frequency domain, so as to obtain a baseband frequency domain signal;

A processor 263 for acquiring a set of target parameter values of the corresponding fitting function according to the current state information; the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation, wherein the first set is obtained by performing curve fitting on amplitude sample compensation coefficients corresponding to a set of different frequencies, and the second set is obtained by performing curve fitting on phase sample compensation coefficients corresponding to the set of different frequencies;

a value operation circuit 264 for determining a target compensation coefficient of at least one frequency component of the baseband frequency domain signal based on the fitting function and the set of target parameter values;

a signal compensation circuit 265, configured to compensate a corresponding frequency component in the baseband frequency domain signal by using a target compensation coefficient of each frequency component, so as to obtain a target signal;

and a baseband processing circuit 266, configured to perform baseband processing on the target signal.

The description of the apparatus embodiments above is similar to that of the method embodiments above, with similar benefits as the method embodiments. For technical details not disclosed in the embodiments of the wireless signal transmitting apparatus and the embodiments of the wireless signal receiving apparatus of the present application, please refer to the description of the method embodiments of the present application for understanding.

An embodiment of the present application further provides an electronic device, as shown in fig. 27, where the device 270 may include: comprises a memory 271 and a processor 272, the memory 271 storing a computer program executable on the processor 272, the processor 272 implementing the steps of the information processing method provided in the above-described embodiments when executing the program.

The memory 271 is configured to store instructions and applications executable by the processor 272, and may also cache data (e.g., image data, audio data, voice communication data, and video communication data) to be processed or processed by each module in the processor 272 and the electronic device 270, which may be implemented by a FLASH memory (FLASH) or a random access memory (Random Access Memory, RAM).

Correspondingly, the computer readable storage medium provided in the embodiments of the present application has a computer program stored thereon, which when executed by a processor implements the steps in the wireless signal compensation method or the value determination method provided in the above embodiments.

It should be noted here that: the description of the storage medium and apparatus embodiments above is similar to that of the method embodiments described above, with similar benefits as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and the apparatus of the present application, please refer to the description of the method embodiments of the present application for understanding.

It should be appreciated that reference throughout this specification to "one embodiment" or "some embodiments" or "other embodiments" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" or "in some embodiments" or "in other embodiments" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application. The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read Only Memory (ROM), a magnetic disk or an optical disk, or the like, which can store program codes.

Alternatively, the integrated units described above may be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or part contributing to the related art, and the computer software product may be stored in a storage medium, including several instructions for causing an electronic device to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a removable storage device, a ROM, a magnetic disk, or an optical disk.

The methods disclosed in the several method embodiments provided in the present application may be arbitrarily combined without collision to obtain a new method embodiment.

The features disclosed in the several product embodiments provided in the present application may be combined arbitrarily without conflict to obtain new product embodiments.

The features disclosed in the several method or apparatus embodiments provided in the present application may be arbitrarily combined without conflict to obtain new method embodiments or apparatus embodiments.

The foregoing is merely an embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for compensating a wireless signal, the method comprising:

acquiring a group of target parameter values of the fitting function for wireless signal compensation from a plurality of groups of parameter values of the fitting function stored in advance according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation;

Determining a target compensation coefficient for at least one frequency component of the wireless signal based on the fitting function and the set of target parameter values;

compensating the corresponding frequency component in the wireless signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal;

the number set in each set of parameter values is obtained by performing curve fitting on sample compensation coefficients corresponding to a plurality of different frequencies obtained under corresponding state information, wherein the sample compensation coefficients are amplitude sample coefficients or phase sample coefficients, and the method for determining the sample compensation coefficients comprises the following steps:

acquiring N original compensation coefficients corresponding to a specific frequency, wherein N is an integer greater than 1, and the N original compensation coefficients are obtained by carrying out N experiments on signals of the specific frequency under preset state information;

and under the condition that the dispersion degree of the N original compensation coefficients meets the aggregation condition, determining the sample compensation coefficient according to the average value of the N original compensation coefficients.

2. The method of claim 1, wherein the obtaining a set of target parameter values for a corresponding fitting function for wireless signal compensation based on the current state information comprises:

Determining the identification of the current state information;

and acquiring a set of target parameter values corresponding to the identification from a plurality of sets of parameter values of the fitting function which are stored in advance.

3. The method of claim 1, wherein, in the case where the wireless signal is a frequency domain signal, the determining the target compensation coefficient for at least one frequency component of the wireless signal based on the fitting function and the set of target parameter values comprises: determining a target compensation coefficient for each subcarrier of the wireless signal according to the fitting function and the set of target parameter values;

in response to this, the control unit,

the compensating the corresponding frequency component in the wireless signal by using the target compensation coefficient of each frequency component to obtain a target signal comprises the following steps: and compensating the corresponding sub-carrier in the wireless signal by utilizing the target compensation coefficient of each sub-carrier to obtain a target signal.

4. The method of claim 1, wherein in the case where the wireless signal is a time domain signal, the method further comprises: converting the wireless signal to a frequency domain to obtain a frequency domain signal to be compensated;

In response to this, the control unit,

said determining a target compensation factor for at least one frequency component of said wireless signal based on said fitting function and said set of target parameter values, comprising: determining a target compensation coefficient of each subcarrier of the frequency domain signal to be compensated according to the fitting function and the set of target parameter values;

the compensating the corresponding frequency component in the wireless signal by using the target compensation coefficient of each frequency component to obtain a target signal comprises the following steps:

compensating the corresponding sub-carrier in the frequency domain signal to be compensated by utilizing the target compensation coefficient of each sub-carrier to obtain a compensated frequency domain signal;

and converting the compensated frequency domain signal into a time domain to obtain the target signal.

5. The method according to claim 1, wherein the method further comprises:

determining a deviation value between each original compensation coefficient and a mean value of the N original compensation coefficients under the condition that the dispersion degree of the N original compensation coefficients does not meet the aggregation condition;

discarding compensation coefficients of which the deviation values do not meet the deviation conditions in the N original compensation coefficients to obtain M original compensation coefficients, wherein M is smaller than N;

And if the dispersion degree of the M original compensation coefficients meets the aggregation condition, determining the sample compensation coefficient according to the average value of the M original compensation coefficients.

6. The method of claim 5, wherein the method further comprises:

if the dispersion degree of the M original compensation coefficients does not meet the aggregation condition, redefining a deviation value between each coefficient in the M original compensation coefficients and the average value of the M original compensation coefficients;

discarding the coefficient of which the redetermined deviation value does not meet the deviation condition in the M original compensation coefficients until the dispersion degree of the discarded residual compensation coefficients meets the aggregation condition, and determining the sample compensation coefficient according to the average value of the residual compensation coefficients.

7. The method according to claim 5 or 6, wherein the deviation condition is: the deviation value of the amplitude original compensation coefficient is smaller than a first threshold value, and the deviation value of the phase original compensation coefficient is smaller than a second threshold value.

8. The method of any one of claims 1 to 6, wherein the fitting function is a polynomial interpolation function.

9. The method of any one of claims 1 to 6, wherein a number set is the first number set or the second number set; the number set comprises fitting coefficients of the fitting function; alternatively, the set of numbers includes the fitting coefficients and a fitting error, the fitting error being determined from an error between a fitting function value at least one frequency and a sample compensation coefficient.

10. The method according to any one of claims 1 to 6, wherein the status information comprises at least one of:

signal frequency band, carrier bandwidth, number of carrier aggregations, baseband sampling frequency, signal transmit power or signal receive power, temperature of the device performing the method.

11. The wireless signal compensation method compensates the generated baseband frequency domain signal, and is characterized in that the method is applied to a wireless signal transmitting end and comprises the following steps:

obtaining a group of target parameter values of the fitting function for compensating the baseband frequency domain signal from a plurality of groups of parameter values of the fitting function stored in advance according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation;

determining a target compensation coefficient of at least one frequency component of the baseband frequency domain signal according to the fitting function and the set of target parameter values;

compensating the corresponding frequency component in the baseband frequency domain signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal;

12. The method of claim 11, wherein the method further comprises:

sequentially performing baseband processing and radio frequency processing on the target signal to obtain a radio frequency signal;

and transmitting the radio frequency signal to a wireless signal receiving end through an antenna.

13. The method of claim 11, wherein the current state information includes at least one of:

signal frequency band, carrier bandwidth, carrier aggregation number, baseband sampling frequency, signal transmitting power and equipment temperature of the wireless signal transmitting end.

14. The wireless signal compensation method compensates the received baseband frequency domain signal, and is characterized in that the method is applied to a wireless signal receiving end and comprises the following steps:

obtaining a group of target parameter values of the corresponding fitting function from a plurality of groups of parameter values of the pre-stored fitting function according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation;

performing baseband processing on the target signal;

15. The method of claim 14, wherein prior to said determining target compensation coefficients for at least one frequency component of the baseband frequency domain signal, the method further comprises:

Carrying out radio frequency processing on the received radio frequency signals to obtain baseband time domain signals;

and converting the baseband time domain signal into a frequency domain to obtain the baseband frequency domain signal.

16. The method of claim 14, wherein the current state information includes at least one of:

signal frequency band, carrier bandwidth, carrier aggregation number, baseband sampling frequency, signal receiving power and equipment temperature of the signal receiving end.

17. A method of determining a value, the method comprising:

under any preset state information, determining a group of amplitude sample compensation coefficients and phase sample compensation coefficients corresponding to different frequencies;

performing curve fitting on each amplitude sample compensation coefficient to obtain a first number set in a group of parameter values of a fitting function;

performing curve fitting on each phase sample compensation coefficient to obtain a second set of parameter values;

the set of parameter values is used for determining a target compensation coefficient of at least one frequency component of the wireless signal under the preset state information, and the target compensation coefficient is used for compensating the corresponding frequency component in the wireless signal.

18. A wireless signal compensation device for compensating a wireless signal, the device comprising:

the parameter acquisition module is used for acquiring a group of target parameter values of the fitting function for corresponding wireless signal compensation from a plurality of groups of parameter values of the pre-stored fitting function according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation;

a coefficient determination module for determining a target compensation coefficient for at least one frequency component of the wireless signal based on the fitting function and the set of target parameter values;

the signal compensation module is used for compensating the corresponding frequency component in the wireless signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal;

the parameter value determining module is further configured to determine a plurality of parameter values according to a set of parameter values, wherein the parameter value set in each set is obtained by performing curve fitting on sample compensation coefficients corresponding to a plurality of different frequencies obtained under corresponding state information, the sample compensation coefficients are amplitude sample coefficients or phase sample coefficients, and the parameter determining module is further configured to: acquiring N original compensation coefficients corresponding to a specific frequency, wherein N is an integer greater than 1, and the N original compensation coefficients are obtained by carrying out N experiments on signals of the specific frequency under preset state information; and under the condition that the dispersion degree of the N original compensation coefficients meets the aggregation condition, determining the sample compensation coefficient according to the average value of the N original compensation coefficients.

19. An electronic device, comprising:

the processor is used for acquiring a group of target parameter values of the fitting function for corresponding wireless signal compensation from a plurality of groups of parameter values of the pre-stored fitting function according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation;

a value operation circuit for determining a target compensation coefficient of at least one frequency component of the wireless signal according to the fitting function and the set of target parameter values;

the signal compensation circuit is used for compensating the corresponding frequency component in the wireless signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal;

20. A wireless signal transmission apparatus, comprising:

the processor acquires a group of target parameter values of the fitting function for baseband frequency domain signal compensation from a plurality of groups of parameter values of the fitting function stored in advance according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation;

a value operation circuit for determining a target compensation coefficient of at least one frequency component of the baseband frequency domain signal according to the fitting function and the set of target parameter values;

the signal compensation circuit is used for compensating the corresponding frequency component in the baseband frequency domain signal by utilizing the target compensation coefficient of each frequency component to obtain a target signal;

21. The apparatus of claim 20, wherein the apparatus further comprises:

the baseband processing circuit is used for carrying out baseband processing on the target signal;

the radio frequency module is used for carrying out radio frequency processing on the signal output by the baseband processing circuit to obtain a radio frequency signal;

and the antenna is used for transmitting the radio frequency signals to the wireless signal receiving equipment.

22. A wireless signal receiving apparatus, comprising:

the processor is used for acquiring a group of target parameter values of the fitting function for the corresponding baseband frequency domain signal from a plurality of groups of parameter values of the pre-stored fitting function according to the current state information; wherein the set of target parameter values comprises a first set for amplitude compensation and/or a second set for phase compensation;

23. The apparatus of claim 22, wherein the apparatus further comprises:

the radio frequency module is used for carrying out radio frequency processing on the received radio frequency signals to obtain baseband time domain signals;

And the signal conversion circuit is used for converting the baseband time domain signal into a frequency domain to obtain a baseband frequency domain signal.

24. A numerical value determining apparatus, comprising:

the sample determining module is used for determining a group of amplitude sample compensation coefficients and phase sample compensation coefficients corresponding to different frequencies under any preset state information;

the curve fitting module is used for performing curve fitting on each amplitude sample compensation coefficient to obtain a first number set in a group of parameter values of a fitting function; performing curve fitting on each phase sample compensation coefficient to obtain a second set of parameter values;

25. Electronic device comprising a memory and a processor, the memory storing a computer program executable on the processor, characterized in that the processor implements the steps of the wireless signal compensation method of any one of claims 1 to 16 when the program is executed or the processor implements the steps of the value determination method of claim 17 when the program is executed.

26. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor realizes the steps in the wireless signal compensation method according to any one of claims 1 to 16 or the computer program when executed by a processor realizes the steps in the value determination method according to claim 17.