CN111901263A

CN111901263A - Wireless signal compensation method, value determination method, device, equipment and medium

Info

Publication number: CN111901263A
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: 2020-11-06
Anticipated expiration: 2040-08-05
Also published as: CN111901263B

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 wireless signal compensation according to the current state information; wherein the set of target parameter values comprises a first set of numbers for amplitude compensation and/or a second set of numbers for phase compensation; determining a target compensation factor for at least one frequency component of the wireless signal based on the fit function and the set of target parameter values; and compensating the corresponding frequency component in the wireless signal by using the target compensation coefficient of each frequency component to obtain a target signal.

Description

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

Technical Field

The embodiment of the application relates to communication technology, in particular to a wireless signal compensation method, a wireless signal value determination device and a wireless signal value determination medium.

Background

Modern wireless communication systems, various signal processing procedures including filtering, and physical devices such as digital-to-analog/analog-to-digital converters, analog filters, power amplifiers, and tuners in antennas, inevitably introduce signal distortion, often manifested as non-flatness 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 or received signal to some extent, affecting the performance of the communication transmission.

Generally, a method for correcting such frequency domain distortion at a transmitting end of a radio signal is to multiply a compensation coefficient in a frequency domain of a baseband signal, so as to compensate for the distortion of a radio frequency module. Similar 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 compensation coefficients of the whole frequency domain bandwidth must be stored, so that a large memory overhead is required.

Disclosure of Invention

In view of this, the wireless signal compensation method, the value determination method, the device, the apparatus, and the medium provided in the embodiments of the present 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 as follows:

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

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

The wireless signal compensation method provided by the embodiment of the application compensates baseband frequency domain signals, and the method is applied to a wireless signal receiving end and 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 of numbers for amplitude compensation and/or a second set of numbers for phase compensation; determining a target compensation coefficient for at least one frequency component of the baseband frequency domain signal based on the fitting function and the set of target parameter values; compensating corresponding frequency components in the baseband frequency domain signal by using the target compensation coefficient of each frequency component to obtain a target signal; and performing baseband processing on the target signal.

The numerical value determination method provided by the embodiment of the application comprises the following steps: determining a group of amplitude sample compensation coefficients and phase sample compensation coefficients corresponding to different frequencies under any preset state information; 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 number set in the group 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 radio signal compensation device that this application embodiment provided compensates radio signal, includes: the parameter acquisition module is used for acquiring a group of target parameter values of a corresponding fitting function for wireless signal compensation according to the current state information; wherein the set of target parameter values comprises a first set of numbers for amplitude compensation and/or a second set of numbers 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 using the target compensation coefficient of each frequency component to obtain a target signal.

The electronic equipment that this application embodiment provided includes: the processor is used for acquiring a group of target parameter values of a fitting function for wireless signal compensation according to the current state information; wherein the set of target parameter values comprises a first set of numbers for amplitude compensation and/or a second set of numbers for phase compensation; a numerical operation circuit 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 circuit is used for compensating the corresponding frequency component in the wireless signal by using the target compensation coefficient of each frequency component to obtain a target signal.

The wireless signal transmitting apparatus provided in the embodiment of the present application includes: the processor is used for acquiring 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 of numbers for amplitude compensation and/or a second set of numbers for phase compensation; a numerical operation circuit for determining a target compensation coefficient for at least one frequency component of the baseband frequency domain signal based on 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 using 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 of numbers for amplitude compensation and/or a second set of numbers for phase compensation; a numerical operation circuit for determining a target compensation coefficient for at least one frequency component of the baseband frequency domain signal based on 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 using the target compensation coefficient of each frequency component to obtain a target signal; and the baseband processing circuit is used for performing baseband processing on the target signal.

The numerical value determination device provided by the embodiment of the application comprises: 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 number set in the group 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 embodiment 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 the steps in the wireless signal compensation method according to any one of the embodiments of the present application when executing the program, or implements the steps in the value determination method according to the embodiments of the present application when executing the program.

The computer-readable storage medium provided in this application is a storage medium on which a computer program is stored, where the computer program is executed by a processor to implement the steps in the wireless signal compensation method according to any one of the embodiments of the application, or the computer program is executed by the processor to implement the steps in the value determination method according to the embodiments of the application.

In the wireless signal compensation method provided in the embodiment of the present application, when performing signal compensation on a wireless signal, the electronic device determines a target compensation coefficient of a frequency component of the signal in a manner that: acquiring a group of target parameter values of a fitting function corresponding to the current state information; then, a target compensation factor for at least one target frequency component in the wireless signal is determined based on the fit 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 invention may be applied;

fig. 3 is a schematic view of a service scenario in 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 flow chart illustrating an implementation of a wireless signal compensation method according to an embodiment of the present application;

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

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

fig. 7 is a schematic flow chart illustrating an implementation 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 flowchart illustrating a further implementation of a method for compensating a radio signal according to an embodiment of the present application;

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

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

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

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

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

FIG. 17 is a schematic diagram of a frequency domain amplitude response curve after compensation according to an embodiment of the present application;

FIG. 18 and FIG. 19 are schematic diagrams illustrating the effect of frequency domain phase compensation according to an embodiment of the present application;

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

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

FIG. 23 is a schematic structural diagram 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 transmitting apparatus according to an embodiment of the present application;

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

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

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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 intended to illustrate 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 application.

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

It should be noted that the terms "first \ second \ third" referred to in the embodiments of the present application merely distinguish similar or different objects and do not represent a specific ordering with respect to the objects, and it should be understood that "first \ second \ third" may be interchanged under certain ordering or sequence circumstances to enable the embodiments of the present application described herein to be implemented in other orders than illustrated or described herein.

The basic wireless communication flow, the network architecture and the service scenario described in this application are for more clearly illustrating the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. As can be known to those skilled in the art, with the evolution of network architecture and the emergence 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 be applied to the 4th Generation mobile communication system (4G), the fifth Generation mobile communication technology (5th-Generation wireless communication technology, 5G), a New Radio (NR) system or a future communication system, and may also be applied to other various wireless communication systems, for example: a narrowband Band-Internet of Things (NB-IoT) System, a Global System for Mobile communications (GSM), an Enhanced Data rates for GSM Evolution (EDGE) System, a Wideband Code Division Multiple Access (WCDMA) System, a Code Division Multiple Access (Code Division Multiple Access) 2000 System, a Time Division synchronous Code Division Multiple Access (Time Division-synchronous Code Division Multiple Access, TD-SCDMA) System, a General packet radio Service (General packet radio Service, GPRS), a Long Term Evolution (Long Term Evolution, LTE) System, a Frequency Division Duplex (FDD) System, an LTE (Time Division Duplex, UMTS) System, a UMTS-Universal Duplex System, and the like.

Generally, a wireless communication system generally includes a baseband module and a radio frequency module. Taking a wireless communication terminal (such as a mobile phone, etc.) as an example, as shown in fig. 1, a basic flow of wireless communication is shown. In the transmitting 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 rf module 102 through a digital interface between the baseband module 101 and the rf module 102. The rf module 102 performs interpolation filtering, up-conversion, pre-distortion, analog-to-digital conversion, and other processing on the digital signal from the baseband module 101, modulates the signal to a corresponding frequency band and 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 to the outside.

In the receiving direction of the wireless signal, the receiving end 110 converts the radio frequency signal received by the antenna 111 into a digital baseband signal through processing of a low noise amplifier, an analog filter, an analog-to-digital conversion, and the like of the radio frequency module 112, and then sends the digital baseband signal to the baseband module 113 for processing, thereby realizing the receiving and detecting of the signal.

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

Fig. 2 illustrates a network architecture to which embodiments of the present application may be applied. As shown in fig. 2, the network architecture provided by the present embodiment includes: a network device 201 and a 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). The network device according to the embodiments of the present application is a device deployed in a radio access network to provide a terminal with a wireless communication function. In the embodiment of the present application, the network device may be, for example, a base station shown in fig. 2, and the base station may include various forms of electronic devices such as a macro base station, a micro base station, a relay station, and an access point.

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 end, the wireless signal transmitting end may be either a network device or a terminal; correspondingly, when the method is applied to a wireless signal receiving end, the wireless signal receiving end can be a terminal or a network device. Optionally, the method may also be applied to an information interaction process 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 illustrates a service scenario in which the radio signal compensation method provided by the present application may be applied, and as shown in fig. 3, the method is applied to a transmitting end of a 4G/5G wireless communication terminal Modem (Modem). In a baseband module, performing signal compensation on an uncompensated baseband frequency domain signal by using the wireless signal compensation method provided by the application to obtain a compensated baseband frequency domain signal; the uncompensated baseband frequency domain Signal is, for example, a frequency domain Signal such as a Physical Uplink Shared Channel (PUSCH), a Physical Uplink Control Channel (PUCCH), a Physical Random Access Channel (PRACH), or a Sounding Reference Signal (SRS); then, the baseband module converts the compensated baseband frequency domain signal into a time domain, and performs 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 radio signal compensation method provided by the present application may be applied, and as shown in fig. 4, the method is applied to a receiving end of a Modem of a 4G/5G standard radio communication terminal. The radio frequency module performs radio frequency processing on the air interface radio frequency signal to obtain a baseband time domain signal; then, the baseband time-domain signal is converted into an uncompensated baseband frequency-domain signal by Discrete Fourier Transform (DFT) or Fast Fourier Transform (FFT); the wireless signal compensation method provided by the application is adopted to perform signal compensation on the uncompensated baseband frequency domain signal to obtain a compensated baseband frequency domain signal, and the signal is subjected to subsequent baseband processing.

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

step 501, acquiring a group of target parameter values of a corresponding fitting function for wireless signal compensation according to current state information; wherein the set of target parameter values comprises a first set of numbers for amplitude compensation and/or a second set of numbers 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 different parameter value groups of corresponding fitting functions can compensate different wireless signals in a targeted manner, so that 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 a parameter value set corresponding to the current state information, that is, the set of target parameter values, from parameter value sets respectively corresponding to the plurality of kinds of state information stored in the electronic device. Taking the terminal implementing the wireless signal compensation method as an example, the parameter values corresponding to the various types of state information may also be stored in its own memory, or may also be stored in the network device. When the state information is stored in the network device, the terminal may send request information carrying the current state information of the terminal to the network device, and request to obtain a set 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 transmission power or signal reception power, temperature of the device performing the method. It is understood that different signal receiving powers cause different values of operating parameters of hardware such as a power amplifier, and thus different degrees of distortion of signals output from the power amplifier. Similarly, for different parameter values such as the signal frequency band and the carrier bandwidth, the operating parameter values of the corresponding hardware are different, and the distortion degree of the output signal is also different. That is, the inventors found in the research process that the factors affecting the signal distortion mainly include a signal frequency band, a carrier bandwidth, a carrier aggregation number, a baseband sampling frequency, a signal transmission power or a signal reception power, and a temperature of a device performing the method.

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

As can be understood, for the signal receiving end, the preset state information may include the signal receiving power and not include the signal transmitting power; for the signal transmitting end, the preset state information may include signal transmitting power but not signal receiving power.

It is to be understood that the set of target parameter values includes the first number set and/or the second number 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 factor for at least one frequency component of the wireless signal based on the fitting function and the set of target parameter values.

It should be noted that the wireless signal may be a signal output by any of the processing procedures shown in fig. 1. Namely, the wireless signal compensation method provided by the embodiment of the application is suitable for any stage of the signal processing process.

The inventor finds out in the research process that: sample compensation function

And

the independent variable f has the characteristics of smoothness, continuity and even continuity. Therefore, when selecting the fitting method, the fitting function is selected based on these characteristics. For the convenience of implementation, a polynomial interpolation fitting function with lower implementation complexity may be selected as the fitting function described in the embodiment of the present application, but is not limited to the polynomial interpolation fitting function, and may be any feasible fitting algorithm. For example, the fitting function may be, but is not limited to, Hermit interpolation, Lagrange interpolation, cubic spline interpolation, least squares, or the like.

It can be understood that the polynomial interpolation fitting function only comprises addition and multiplication operations, and is easy to implement by hardware. The polynomial interpolation function may be of the form shown in equation 1 below:

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

-a first step: a is_n·f

-a second step: a is_n·f+a_n-1

-a third step: (a)_n·f+a_n-1)·f＝a_n·f²+a_n-1·f

-a fourth step of: a is_n·f²+a_n-1·f+a_n-2

-a fifth step: (a)_n·f²+a_n-1·f+a_n-2)·f＝a_n·f³+a_n-1·f²+a_n-2·f

-a sixth step: a is_n·f³+a_n-1·f²+a_n-2·f+a_n-3

…

-step 2 n-1: (a)_n·f^n-1+a_n-1·f^n-2+...+a₁)·f_n

＝a_n·fⁿ+a_n-1·f^n-1+...+a₁·f

-step 2 n: a is_n·fⁿ+a_n-1·f^n-1+...+a₁·f+a₀

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

Hypothesis pair

And

the fitting functions obtained by fitting are respectively recorded as

And

if a polynomial fit is used, then,

and

polynomial functions which may be single expressions, or frequency ranges according to actual needsA piecewise polynomial function having multiple expressions (e.g., piecewise spline interpolation). The final result depends on the balance of fitting accuracy and implementation complexity (computational complexity, parameter storage space, etc.).

In the embodiment of the present application, there is no limitation on which frequency components of the wireless signal are subjected to signal compensation. Signal compensation may be performed on some or all of the frequency components in the wireless signal. Taking an electronic device supporting 4G or 5G standard as an example, the electronic device may determine a target compensation coefficient 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, fitting a function

Fitting coefficient (a) of_n,a_n-1,…,a₀) I.e. the first number set. The electronic device may substitute a certain frequency component f into this equation 1, thereby obtaining a target compensation coefficient for the frequency component.

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

For indicating, phase compensation coefficients

Indicating that the target compensation coefficient of the frequency component is determined to be

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 the frequency component.

In the wireless signal compensation method provided in the embodiment of the present application, when performing signal compensation on a wireless signal, the electronic device determines a target compensation coefficient of a frequency component of the signal in a manner that: acquiring a group of target parameter values of a fitting function corresponding to the current state information; then, a target compensation factor for at least one target frequency component in the wireless signal is determined based on the fit 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 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 understood that, since the range of the frequency value f is usually large, for example, the number of maximum Physical Resource Blocks (PRBs) of a single carrier in the current 5G communication system may be up to 273, each PRB includes 12 subcarriers, and the number of the corresponding subcarriers is up to 273 × 12 — 3276. If the compensation coefficients of each subcarrier are directly stored, a large storage space is required. For example, the amplitude compensation coefficient and the phase compensation coefficient are quantized by 16 bits, and the storage amount required for a single state information is 3276 × 16 × 2 — 104832 bits — 13104 bytes. The amount of storage required will be extremely large in view of all possible configurations. Instead, it is common practice to sample the amplitude compensation coefficients and the phase compensation coefficients according to the granularity (frequency resolution) of frequency domain compensation, that is, instead of a pair of amplitude compensation coefficients and phase compensation coefficients for each subcarrier, a pair of amplitude compensation coefficients and phase compensation coefficients for a plurality of subcarriers or for a single or a plurality of PRBs. However, the storage space required by this method is still relatively large, and the compensation accuracy is also reduced, which affects the compensation performance.

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

And phase sample compensation factor

The fitting is performed by the method which only requires storing the parameter values of the fitting function. Whereas the number of parameter values of the fitting function is typically a single bit number, which is much smaller than the number of subcarriers or the number of PRBs. Therefore, the storage space can be reduced on the basis of ensuring the compensation precision.

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

step 601, determining the identifier of the current state information.

In some embodiments, the electronic device may compare the current state information with a plurality of kinds of state information stored in advance, 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 prestored parameter values of the fitting function; the number set in each group of parameter values is obtained by curve fitting of sample compensation coefficients corresponding to a plurality of different frequencies obtained under corresponding state information;

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

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

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

It is understood that the accuracy of the target compensation coefficient obtained by the fitting function shown in the above formula 1 may not meet the requirement of practical application, and then the fitting function may be further corrected by the fitting error. Let the fitting error formula between the amplitude fitting function value and the corresponding amplitude sample compensation coefficient be the following formula 3, and the fitting error formula between the phase fitting function value and the corresponding phase sample compensation coefficient be the following formula 4:

for Δ A_i(f) And

quantizing, and respectively recording the fitting errors of the quantized amplitude compensation coefficient and the quantized phase compensation coefficient as delta A_i(f) And

the final target compensation factor of the amplitude can be obtained according to the following equations 5 and 6

And phase target compensation factor

Albeit to the fitting error Δ A_i(f) And

will require additional storage space, but will be associated with the compensation coefficients

And

in contrast, the usual error Δ A_i(f) And

the absolute value of the error is smaller, the number of bits required for quantization is usually lower than the number of quantization bits of the compensation coefficient, and therefore, a certain storage space can still be saved by quantizing the fitting error.

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;

and 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, since it is necessary to support complex characteristics such as extremely complex frequency bands, bandwidths, carrier aggregation and/or high-order Modulation (such as 256 Quadrature Amplitude Modulation (QAM)), Multiple Input Multiple Output (MIMO), etc., a radio frequency module is more and more complex, and the design difficulty is more and more high. These characteristics place increasingly stringent demands on the performance of antenna tuners, analog filters, low noise amplifiers, and digital-to-analog/analog converters, among other devices. In addition, the number of related devices is multiplied by the characteristics of carrier aggregation, MIMO and the like. Realizing these functions in a limited space means that the volume requirements of the related devices are getting smaller and smaller. For example, in the standard of 3GPP 5G R15 version, the number of bands in the sub6G range is 32 in terms of band, and the number of bands of millimeter waves is 4; the MIMO aspect needs to support 4 × 4MIMO, up to 8 × 8 MIMO. As such, inevitably, the number of related devices in the rf module will increase on a large scale, which means higher research and development difficulty and cost. According to the published data, the cost of the rf module used by 5G mobile phones is generally more than 3 times higher than that of 4G mobile phones, and the average cost is over $ 50.

In the embodiment of the present application, because 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, a more accurate target compensation coefficient of each subcarrier of the wireless signal can be obtained according to the fitting function and the set of target parameter values; therefore, when the target compensation coefficient of each subcarrier is used for compensating 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 made up; therefore, for the design of some digital filters required in the digital signal processing process, relevant design indexes (such as amplitude attenuation rate in a pass band and the like) can be properly relaxed according to actual conditions, and the design difficulty of the digital filters is reduced. For physical devices (such as a digital-to-analog/analog-to-digital converter, a low noise amplifier, an analog filter, a power amplifier or an antenna tuner) related to a radio frequency module, the performance threshold and the design difficulty of the related physical devices can be effectively reduced by adopting the technical scheme of the embodiment of the application, so that the product cost is reduced.

It is understood that, in the case that the wireless signal is a frequency domain signal, the signal can be directly compensated through the

steps

603 and 604 of the above embodiments. 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:

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 subcarriers in the frequency domain signal to be compensated by using the target compensation coefficient of each subcarrier 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 is understood that the rf module usually processes signals in the time domain, and the processing of signals 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 to a frequency domain through DFT or FFT, and then the signal is compensated in the frequency domain; therefore, the wireless signal compensation method can compensate the signal distortion in the radio frequency processing process, thereby further improving the signal quality and further improving the communication transmission performance.

In order to ensure the accuracy of the sample compensation coefficient, so as to improve the compensated signal quality 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:

step 701, acquiring N original compensation coefficients corresponding to a specific frequency, 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 through the following steps 7011 to 7017, where the original compensation coefficient may be a phase original compensation coefficient or an amplitude original compensation coefficient:

step 7011, a standard baseband frequency domain digital signal s (f) is prepared in advance. It is understood that the term s (f) refers to an undistorted signal.

Step 7012, performing Inverse Discrete digital Fourier Transform (IDFT) or Inverse Fast Fourier Transform (IFFT) on s (f), and converting frequency domain signal s (f) into a time domain signal;

step 7013, the time domain signal 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 7014, sending the rf signal to the rf module via the standard receiver

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

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

step 7015, for

DFT transform is performed to convert the DFT transform into a frequency domain signal

Namely, it is

Step 7016, obtain equivalent frequency domainChannel response, in general, using the formula

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

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

Repeating the steps 7011 to 7017N times to obtain N amplitude original compensation coefficients and N phase original compensation coefficients corresponding to the wireless signal transmitting end.

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

step 7111, a standard time domain analog RF digital signal s is prepared in advance_RF(t) of (d). Understandably, the criterion s_RF(t) refers to a distortion free signal.

Step 7112, standard s is applied_RF(t) transmitting s through a receiving path such as an antenna, radio frequency module, or the like_RF(t) conversion to baseband time domain signal

Step 7113, for

DFT or FFT conversion to frequency domain signal

Namely, it is

Step 7114, aligning the mark by a standard RF receiverQuasi time-domain analog RF digital signal s_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, DFT or FFT is performed on s (t) to convert s (f) to frequency domain signal s (f), i.e., s (f) ═ DFT (s (t));

step 7116, the frequency domain channel response of the RF module is obtained, typically using a formula

Calculating equivalent frequency domain channel response, namely equivalent channel response introduced by relevant signal processing operation and relevant physical devices of a signal receiving link, wherein the response comprises amplitude distortion information and phase distortion information introduced on the whole signal receiving path;

and step 7117, calculating an amplitude original compensation coefficient and a phase original compensation coefficient of the frequency domain according to H (f).

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 dispersion degree of the N original compensation coefficients.

In the embodiments of the present application, the parameters characterizing the degree of dispersion may be various, such as variance, standard deviation, range or average difference.

Step 703, determining whether the discrete degree meets 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 corresponding thresholds. For example, at least two of the following N original compensation coefficients are less than or equal to the corresponding thresholds: variance, standard deviation, range.

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 used as the sample compensation coefficient; in other embodiments, the product of the mean and a constant may also be used as the sample compensation factor.

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 satisfy the deviation condition from among the N original compensation coefficients to obtain M original compensation coefficients, where M is smaller than N;

in some embodiments, the deviating 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 value is

Wherein i represents the number of bits in the state information i,

is an amplitude compensation coefficient threshold, which is greater than 0;

a phase compensation coefficient threshold, the value being greater than 0;

represents the standard deviation of the N amplitude raw compensation coefficients,

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

It is to be 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, more accurate sample compensation coefficients can be obtained, signal distortion can be compensated better, and communication transmission performance is further improved.

Step 707, determining whether the dispersion degree 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 coefficients according to the average of the M original compensation coefficients.

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

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

In the embodiment of the application, when the N original compensation coefficients are used for determining the sample compensation coefficients, the compensation coefficients far away from the mean value of the N original compensation coefficients are removed, iteration is carried out in the way until the dispersion degree of the remaining original compensation coefficients meets the aggregation condition position, and the sample compensation coefficients are determined according to the mean value of the remaining original compensation coefficients; 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.

Fig. 8 is a schematic flow chart illustrating an implementation of the wireless signal compensation method according to the embodiment of the present invention, and as shown in fig. 8, the method may include the following steps 801 to 805:

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

in some embodiments, the current state information in step 801 may include 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.

The Signal generation circuit may be a Processor such as a CPU or a Digital Signal Processor (DSP), or may be a hardware accelerator. The parameter values corresponding to the same frequency are different between the multiple sets of parameter values of the fitting function stored at the wireless signal sending end and the multiple sets of parameter values of the fitting function stored at the wireless signal receiving end, because the processes of obtaining the original compensation coefficients are different. For the process of determining the original compensation coefficient by the wireless signal transmitting end and the process of determining the original compensation coefficient by the wireless signal receiving end, an implementation has been given above, and therefore, the details are not repeated here.

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 end of 4G and 5G standards, 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, SRS, or the like.

The at least one frequency component may be a part or all of the frequency components in the baseband frequency domain signal to be compensated. If it is a part, for example, a frequency component with relatively serious distortion in the signal is included. In implementation, the distortion degree of each frequency component can be determined, and the frequency components with the distortion degree larger than a specific threshold value are compensated.

Step 803, the wireless signal sending 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 sending end sequentially performs baseband processing and radio frequency processing on the target signal to obtain a radio frequency signal;

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

The above description of the method embodiment of the wireless signal transmitting end corresponding to fig. 8 is similar to the description of the above other method embodiments, and has similar beneficial effects to the above other method embodiments. For technical details that are 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 above for understanding.

An embodiment of the present application further provides a method for compensating a received baseband frequency domain signal, where fig. 9 is a schematic diagram of an implementation flow of the method for compensating a wireless signal according to the embodiment of the present application, and as shown in fig. 9, 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;

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

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

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

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 ends of 4G and 5G standards, 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 a part, for example, a frequency component with relatively serious distortion in the signal is included.

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;

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

The above description of the method embodiment of the wireless signal receiving end corresponding to fig. 9 is similar to the above 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 receiving end corresponding to 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, the method can be applied to the network equipment in a wireless communication system and can also be applied to the terminal in the wireless communication system. The method can also be applied before information interaction, namely an offline stage, in such a scenario, electronic devices implementing the method can be various, for example, the electronic devices can be mobile terminals (e.g., mobile phones, tablet computers, etc.), notebook computers, desktop computers, servers, etc., which have information processing capabilities.

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

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

It can be understood that, under different state information, the compensation coefficients of the amplitude samples corresponding to the same frequency are different, and the compensation coefficients of the phase samples are also different. Under the same state information, the amplitude sample compensation coefficient used for the wireless signal sending end and the amplitude sample compensation coefficient used for the wireless signal receiving end with the same frequency are also different. As are the phase sample compensation coefficients. Thus, when the frequency compensation circuit is used, namely when the corresponding frequency component is compensated, the distortion of the frequency component can be compensated to the maximum extent, so that the communication performance is improved better, and the communication time delay is shortened.

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

For the determination method of the phase sample compensation coefficient and the amplitude sample compensation coefficient, the achievable methods are given above, and therefore are not described herein again.

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;

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

It should be noted that, the electronic device may perform step 102 first, and then perform step 103; step 103 may be executed first and then step 102 may be executed; step 102 and step 103 may also be performed in parallel.

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

It will be appreciated that various signal processing procedures, including filtering, and physical devices such as digital-to-analog/analog-to-digital converters, analog filters, power amplifiers, and tuners in antennas, will inevitably introduce signal distortion, typically manifested as non-flatness of the frequency domain amplitude response and non-linearity of the phase response within the effective bandwidth of the signal, where the non-flatness of the frequency domain amplitude response is shown in fig. 11, and the actual amplitude response curve is manifested as non-flatness compared to the ideal amplitude response curve; non-linearity of the frequency domain phase response as shown in fig. 12, the actual phase response curve shows non-linearity 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 only for illustrating the technical background and principle of the present application, and not for limiting all relevant curves to be in this shape. Such frequency domain distortion may affect the quality of the transmitted or received signal to some extent, affecting the performance of the communication transmission. And such frequency domain distortion may also vary due to factors such as different operating frequency bands, signal bandwidths, transmit powers, and operating temperatures.

Generally, a method for correcting such frequency domain distortion at a transmitting end of a radio signal is to multiply a target compensation coefficient by a frequency domain of a signal in a baseband module to compensate for distortion of a radio frequency module. Before the application is realized, 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 end, at the wireless signal receiving end, the obtained amplitude compensation coefficient and phase compensation coefficient of each frequency component also need to be stored 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 disadvantages as follows:

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

2. the related scheme cannot flexibly support different frequency domain compensation granularities (frequency domain resolutions).

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

The calculation process of the frequency domain compensation coefficient according to the embodiment of the present application is explained as follows:

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

step 131, performing IDFT or IFFT on the baseband standard frequency domain signal s (f), so as to convert s (f) to the time domain, and obtaining a baseband standard time domain signal;

step 132, sending the time domain signal obtained in step 131 to a radio frequency module, and converting the time domain signal into a radio frequency signal through the radio frequency module;

step 133, performing receiving detection on the radio frequency signal obtained in step 132 through a standard receiver to obtain a receiving side time domain signal;

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

Step 135, calculating the 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 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 the main innovation point of the embodiment of the present application.

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

step 141, converting the standard rf time domain signal into a baseband time domain signal by the rf 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 through 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 an 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;

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

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

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

1. And determining related parameters in the current configuration state (namely the current state information), and recording the current configuration number as i. These relevant configurations are considered sufficiently in order to be able to obtain the most accurate compensation coefficients in each configuration.

2. According to the method shown in FIG. 13 or FIG. 14, the frequency domain amplitude compensation coefficients A (f) and the phase compensation coefficients 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 factor a (f) should be able to correct the frequency domain amplitude distortion introduced by the channel response h (f). The compensated channel amplitude response should be constant within the pass band. The formula for calculating the amplitude compensation coefficient may be, but is not limited to, the following formula 8:

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

(3) Coefficient of phase compensation

It should be possible to correct the phase distortion introduced by the channel response h (f). The equivalent phase response after the frequency domain phase compensation should be a straight line. The formula for calculating the amplitude compensation coefficient is as follows formula 9:

the phase compensation coefficient obtained by using the formula is applied, and the phase response of the equivalent channel after compensation is constant to 0.

In a practical communication system, the equivalent channel response of a signal transmission path or a signal reception path may have a time-domain delay in addition to amplitude distortion and phase distortion. The delay in the time domain appears in the frequency domain as a linear function with a slope with respect to frequency that is a non-0 value. Using equation 9 will eliminate this time domain delay amount. This may be beneficial in certain application scenarios. However, in some special communication scenarios, it may be desirable to preserve the time domain delay, and then the compensation function for the phase response needs to be adjusted appropriately. If the time-domain delay introduced by the channel of the rf module is Δ T, the formula for calculating the phase compensation coefficient should be updated as the following formula 10:

3. repeating the experiment N times (generally N is more than 1) according to the method defined in step 2 to obtain N frequency domain compensation coefficient samples. Suppose that the amplitude compensation coefficient and the phase compensation coefficient obtained at the j time are respectively marked as A_ij(f) And

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

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

the exact frequency domain amplitude compensation coefficients (i.e., the amplitude sample compensation coefficients described in the previous embodiment) and phase compensation coefficients (i.e., the phase sample compensation coefficients described in the previous embodiment) are obtained. Alternatively (but not limited to) one way to find the exact frequency domain amplitude compensation coefficients and phase compensation coefficients is to first find the frequency domain amplitude compensation coefficients and phase compensation coefficients according to A_ij(f) And

discarding samples far away from most of the sampling points according to the sample distribution condition, and then re-averaging the remaining samples, wherein the new average is used as a more accurate frequency domain amplitudeDegree compensation coefficient and phase compensation coefficient, respectively

And

alternatively (but not limited to this method), a process of discarding samples with large deviations and finding accurate frequency-domain amplitude compensation coefficients and phase compensation coefficients is as follows:

(1) and calculating the average value, the variance and the standard deviation of N groups of amplitude compensation coefficient and phase compensation coefficient samples:

-amplitude compensation coefficient average:

-amplitude compensation coefficient variance:

-amplitude compensation coefficient standard deviation:

-average value of phase compensation coefficients:

-phase compensation coefficient variance:

-standard deviation of phase compensation coefficients:

(2) setting an amplitude compensation coefficient threshold

And phase compensation systemNumber threshold

Abandon cannot satisfy the conditions at the same time

And

i.e. samples that deviate further from the mean are discarded. The samples of the remaining amplitude and phase compensation coefficients are denoted as A'_ij(f) And

(3) assuming that the number of remaining amplitude compensation coefficient and phase compensation coefficient samples is N ', i.e. 1 ≦ j ≦ N', the average value of the remaining amplitude compensation coefficient and phase compensation coefficient may be found according to the following equations 17 and 18:

obtained herein

And

i.e. a more accurate statistical estimation of the frequency domain amplitude compensation coefficient and the phase compensation coefficient under the configuration with the number i. Optionally, if necessary, the above steps (1) and (2) may be repeated, that is, the remaining samples are discarded from the samples far away from most of the sampling points by the same method, and the iteration is performed for a plurality of times until the distribution of the sample set meets the requirement.

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

And

fitting is carried out, the method only needs to store the coefficients of the fitting function, and the coefficient number of the fitting function is far smaller than the number of subcarriers or the number of PRBs under the normal condition, so that the storage space can be reduced on the basis of ensuring the compensation accuracy.

In general, the compensation function

And

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

If the accuracy of the fitting function obtained in the step 5 cannot meet the requirement, the error between the fitting function and the original function can be calculated to further correct the accuracy of the fitting function. For a description of this section, reference may be made to the description of the section above where equations 3 to 6 are located.

If the accuracy of the fitting function in step 5 above can be achieved, the final amplitude fitting function and phase fitting function are the following equations 19 and 20:

6. and 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 of the embodiment of the present application will be described with reference to a Modem of a wireless communication terminal as an example. However, this does not mean that the 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 as follows.

1. After obtaining the fitting functions in various different configuration states according to the scheme described above, the parameter values of all the fitting functions are saved. Specifically, when the method is implemented in a Modem of a wireless communication terminal (such as a mobile phone), the storage method can be flexibly considered according to the total data size of parameter values of all fitting functions. The fitting function can be stored in the memory of the microcontroller in the Modem chip, and the fitting function is suitable for a scene with a small total quantity of parameter values of all fitting functions. The method can also 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 quantity of parameter values of all fitting functions.

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

And

the operation of frequency domain compensation is to multiply the frequency domain data of the signal by

If the baseband data needing compensation is frequency domain data, the baseband data can be directly compensated, and DFT conversion is not needed. If the baseband data needing compensation 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 and the like) of the wireless communication terminal, the related network parameters (such as frequency points, bandwidth and the like) and the like change, the parameter values of the corresponding fitting functions are reselected according to the new configuration.

Fig. 15 is a schematic diagram of a process of performing frequency domain compensation at a transmitting end of a wireless signal, and 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 the radio frequency module to obtain a compensated radio frequency signal.

Wherein, steps 151 to 153 are applied to the technical solution of the 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, as shown in fig. 16, the process may include the following steps 161 to 166, and steps 163 to 165 in the figure are an application part of the technical solution of the embodiment of the present application.

Step 161, processing the air interface radio frequency signal by 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 a frequency domain compensation coefficient by using a fitting formula;

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

step 166, performing subsequent baseband signal processing on the compensated baseband frequency domain signal.

The frequency domain amplitude compensation effect is shown in fig. 17, and the compensated frequency domain amplitude response curve has flatness.

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

fig. 18 shows the frequency domain phase compensation effect in the scenario without considering the time delay of the equivalent channel, that is, the time delay introduced by the transmit path or the receive path is eliminated by frequency domain compensation, and at this time, the frequency domain phase response of the compensated equivalent channel is constantly 0.

Fig. 19 shows the frequency domain phase compensation effect in the scenario where the time delay of the radio frequency module is preserved, where the frequency domain compensation module only compensates for the nonlinear response, and the compensated equivalent frequency domain phase response 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 coefficients of the frequency domain amplitude and the compensation coefficients of the phase respectively, only the parameter values of the fitting function need to be stored, large-scale memory overhead caused by storing all the compensation coefficients of the whole bandwidth is avoided, and the storage capacity is greatly reduced on the basis of ensuring 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 embodiment of the present application is a continuous function with an explicit analytical expression. The fitting function is adopted to calculate the frequency domain amplitude compensation coefficient and the phase compensation coefficient, the limitation of bandwidth, the number of subcarriers, the bandwidth of subcarriers and the like is avoided, and on the basis of not increasing extra memory space and calculated amount, different frequency domain compensation granularity (frequency domain resolution), different bandwidths and other scenes can be flexibly supported. For example, 5G introduces characteristics such as a dynamic flexible configurable partial Bandwidth (BWP), a 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 variable, and the technical solution of the embodiment of the present application can support these flexible configurations. For example, when the bandwidth required to be compensated increases, if the granularity of frequency-domain compensation is not changed, the number of compensation coefficients of the existing scheme will increase proportionally with the increase of the compensation bandwidth. With polynomial interpolation fitting, the degree of fitting the polynomial may remain unchanged or increase only a small amount, or only one or a few polynomial segments may be added, and the storage overhead may not be increased or only slightly increased, which is much less than the amount of increase in the frequency domain bandwidth.

Taking the maximum PRB number 273 of the single carrier supported by the 5G system at present as an example, the comparison between the technical scheme of the embodiment of the present application and the existing scheme is shown in table 1 below:

TABLE 1

It is assumed here that the granularity (frequency resolution) of the frequency domain compensation is one subcarrier (each PRB contains 12 subcarriers), and the frequency domain amplitude compensation coefficient and the phase compensation coefficient of a single subcarrier are both quantized with 16 bits. Then the total storage required by the existing scheme for a single carrier compensation coefficient under a specific configuration is 273 × 12 × 16 ═ 104832 bits-13104 bytes.

Assuming that interpolation polynomials are used for interpolation fitting of the frequency domain amplitude compensation coefficients and the phase compensation coefficients in the technical scheme of the embodiment of the application, both the amplitude interpolation polynomial and the phase interpolation polynomial satisfy the following conditions:

(1) a single expression (not segmented);

(2) each coefficient is 16-bit quantized;

(3) the highest degree is n, namely, the polynomial has (n +1) coefficients at most;

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

Obviously, as long as (n +1) × 4<13104, that is, n <3275, fitting the amplitude compensation coefficient and the phase compensation coefficient of the frequency domain using polynomial interpolation can reduce the storage amount of the correlation coefficient. This is satisfied in most cases, and n is typically much smaller than 3275 (typically n is a single digit) as described herein. 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. According to the technical scheme of the embodiment of the application, 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 and the like) can be made up, the performance loss caused by relevant physical devices (such as a digital-to-analog converter, a power amplifier, an antenna tuner and the like) is made up, and the transmitting quality of the signal is effectively improved.

And, compared with the related art, the amplitude compensation coefficient and the phase compensation coefficient are sampled according to the granularity (frequency resolution) of frequency domain compensation, that is, instead of a pair of amplitude compensation coefficient and phase compensation coefficient corresponding to each subcarrier, a plurality of subcarriers or a set of amplitude compensation coefficient and phase compensation coefficient corresponding to a single or a plurality of PRBs. According to the embodiment of the application, a more accurate target compensation coefficient can be obtained through the fitting function and the corresponding parameter value, so that the signal transmission 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 of the embodiment of the application, 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 related signal processing process (such as various digital filtering and the like) is made up, and the performance defects of related physical devices (such as a receiving antenna, a low-noise amplifier, an analog filter, a digital-to-analog converter and the like) are made up. For a part of functional modules of a receiving end, such as a physical layer Channel State Indication (CSI) receiving module in a 5G Modem, the calculation accuracy of CSI-related parameters can be improved, and thus the performance of the entire communication system is improved.

5. Because a certain performance loss can be made up through frequency domain compensation, for the design of some digital filters required in the digital signal processing process, relevant design indexes (such as amplitude attenuation rate in a pass band and the like) can be properly relaxed according to actual conditions, and the design difficulty of the digital filters is reduced. For physical devices (such as digital-to-analog/analog-to-digital converters, low noise amplifiers, analog filters, power amplifiers, antenna tuners and the like) related to the radio frequency module, the performance threshold and the design difficulty of the related physical devices can be effectively reduced by adopting the technical scheme of the embodiment of the application, so that the product cost is reduced.

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

1. according to the technical scheme of the embodiment of the application, the fitting function is adopted to respectively fit the compensation coefficient of the frequency domain amplitude and the compensation coefficient of the phase, and on the basis of ensuring the compensation precision, the storage capacity is greatly reduced.

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

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

4. According to the technical scheme of the embodiment of the application, the actual conditions of frequency domain amplitude response and phase response needing compensation under different configurations (working temperature, frequency point, bandwidth and the like) are fully considered, the compensation coefficients of the frequency domain amplitude and the phase under different configurations and the fitting functions of the compensation coefficients are obtained, the compensation is carried out aiming at the frequency domain distortion under different configurations, and the overall transmitting and receiving performance of the communication system under different configurations can be improved to the maximum extent.

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

The specific implementation of the technical solution in the embodiment of the present application at the transmitting end of the 4G/5G standard wireless communication terminal Modem is shown in fig. 20, and may include the following steps 2001 to 2006, where the shallow steps 2001 to 2003 are the application part of the frequency domain compensation described in the embodiment 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 (namely, the baseband frequency domain signal which is not compensated) 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, and the like) on the compensated baseband time domain signal to obtain a baseband time domain signal after frequency domain compensation;

and step 2006, processing the baseband time domain signal obtained in the step 2005 through 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 process of frequency domain resource mapping. I.e. the generation of the signal, the signal needs to be transformed into the frequency domain, for example:

in a 4G/5G system, a signal of a DFT Spread spectrum orthogonal Frequency Division Multiplexing (DFT-S-OFDM) system firstly generates a time domain signal, and then is converted into a Frequency domain through DFT for subsequent processing. Such as all PUSCH, PUCCH Format 3/4/5, PRACH in 4G; pusch (transform coding enabled) and PUCCH Format 3/4 in the 5G system.

The original signal generated by the CP-OFDM system signal in the 4G/5G system is directly mapped in the frequency domain for processing. Such as PUCCH format0/1/2 in 4G, SRS; PUSCH (transform coding not enabled) in 5G, PUCCHFIMAT 0/1/2, SRS, and the like.

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, extra DFT or FFT operation cannot be introduced, and the complexity of system implementation cannot be increased remarkably. In specific application, the compensation parameters are calculated in the frequency domain and the uplink frequency domain data are compensated by selecting the corresponding fitting function according to actual configuration. The data processing flow before and after compensation is not affected.

Fig. 21 shows a specific implementation of the technical solution of the present application at a receiving end of a 4G/5G wireless communication terminal, which may include the following steps 211 to 216, where steps 213 to 215 are specific application portions of frequency domain compensation described in the technical solution of the present application.

Step 211, processing the air interface radio frequency signal through a 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, performing subsequent baseband processing such as PDCCH/PDSCH or synchronous/Broadcast Channel resource Block (SSB) reception demodulation, Channel State Indication Reference symbol (CSI-RS) detection, etc. on the compensated baseband frequency domain Signal.

In the embodiment of the present application, Downlink channels and signals (including a Physical Downlink Control Channel (PDCCH), a Physical Downlink Shared Channel (PDSCH), a Primary Synchronization Signal (PSS), a Secondary Synchronization Signal (SSS), a Physical Broadcast Channel (PBCH), CSI-RS, and the like) of a wireless communication terminal in a 4G/5G communication system are taken as examples to describe an application process of the technical solution of the embodiment of the present application.

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 on physical resources in the frequency domain, i.e., a naturally occurring frequency domain signal processing process. Therefore, by applying the frequency domain compensation scheme of the present application, no additional DFT or FFT operation is introduced, and the system implementation complexity is not significantly increased. In specific application, the corresponding fitting function is selected according to actual configuration, 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 apparatus provided in the embodiments of the present application compensates a wireless signal, may include each included module and each unit included in each module, and may be implemented by a processor in an electronic device; of course, the implementation can also be realized through a specific logic circuit; in implementation, the processor may be a Central Processing Unit (CPU), a microprocessor unit (MPU), a DSP, a Field Programmable Gate Array (FPGA), or the like.

Fig. 22A is a schematic structural diagram of a wireless signal compensation apparatus according to an embodiment of the present application, and as shown in fig. 22A, the apparatus 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 fitting function for wireless signal compensation according to the current state information; wherein the set of target parameter values includes a first number set for amplitude compensation and/or a second number set for phase compensation, the first number set is obtained by curve fitting a set of amplitude sample compensation coefficients corresponding to different frequencies, and the second number set is obtained by curve fitting a set of phase sample compensation coefficients corresponding to different frequencies;

a coefficient determination module 222, configured to determine a target compensation coefficient for at least one frequency component 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 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 obtaining module 221 is configured to: determining an identifier of the current state information; acquiring a group of target parameter values corresponding to the identification from a plurality of groups of prestored parameter values of the fitting function; and the number set in each group of parameter values is obtained by performing curve fitting on the sample compensation coefficients corresponding to a plurality of different frequencies obtained under corresponding state information.

In some embodiments, in case the wireless signal is a frequency domain signal, the coefficient determining 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 for the corresponding subcarrier in the wireless signal by using the target compensation coefficient of each subcarrier to obtain a target signal.

In some embodiments, as shown in fig. 22B, the apparatus 220 further comprises: a time-frequency transform module 224; when 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 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, by using the target compensation coefficient of each subcarrier, a corresponding subcarrier in the frequency domain signal to be compensated, 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 coefficients are the amplitude sample coefficients or the phase sample coefficients, and the coefficient determining 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 performing N times of experiments on a signal 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 deviation values do not meet deviation conditions in the N original compensation coefficients to obtain M original compensation coefficients, wherein M is smaller than N; and if the discrete 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 discrete degree of the M original compensation coefficients does not meet the aggregation condition, re-determining the deviation value between each coefficient in the M original compensation coefficients and the mean value of the M original compensation coefficients; discarding the coefficient of which the re-determined deviation value does not meet the deviation condition from 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 set of numbers is the first set of numbers or the second set of numbers; the number set comprises fitting coefficients of the fitting function; alternatively, the set of numbers includes the fitting coefficients and a fitting error determined from an error between the fitting function value at the at least one frequency and the sample compensation coefficients.

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 in 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 content of the first and second substances,

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

a curve fitting module 232, configured to perform 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 number set in the group of parameter values;

wherein the set of parameter values is used to determine a target compensation factor for at least one frequency component of the wireless signal under the preset state information.

The above description of the apparatus embodiments, similar to the above description of the method embodiments, has similar beneficial effects as the method embodiments. For technical details not disclosed in the embodiments of the apparatus of the present application, reference is made to the description of the embodiments of the method 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 standalone 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 embodied in the form of a software product, which is stored in a storage medium and includes 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 usb disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, or an optical disk. Thus, embodiments of the present application are not limited to any specific combination of hardware and software.

It should be noted that, in the embodiment 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 is only a logic function division, and there may be another division manner in actual implementation. In addition, functional units in the embodiments of the present application may be integrated into one processing unit, may exist alone physically, or may be integrated into one unit by two or more units. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. Or may be implemented in a combination of software and hardware. For example, the wireless signal compensation apparatus 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 content of the first and second substances,

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

in an actual product, the processor 241 may be a CPU, a Microprocessor (MPU), a DSP, or a Field Programmable Gate Array (FPGA).

A numerical operation circuit 242 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;

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

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 practical products, the signal compensation circuit may be a multiplier, a DSP or a hardware accelerator.

Fig. 25 is a schematic structural diagram of the wireless signal transmitting apparatus in the embodiment of the present invention, 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 content of the first and second substances,

the processor 251 acquires a group of target parameter values of a fitting function for corresponding baseband frequency domain signal compensation according to the current state information; the set of target parameter values includes a first number set for amplitude compensation and/or a second number set for phase compensation, the first number set is obtained by performing curve fitting on a set of amplitude sample compensation coefficients corresponding to different frequencies, and the second number set is obtained by performing curve fitting on a set of phase sample compensation coefficients corresponding to 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 comprises a wireless signal generating circuit for generating the baseband frequency domain signal, the circuit may be a hardware accelerator, and may also be a DSP or a CPU.

And a numerical operation circuit 252, configured to determine a target compensation coefficient of at least one frequency component of the baseband frequency domain signal to be compensated according to the fitting function and the set of target parameter values.

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

And 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;

and the radio frequency module 255 is configured to perform radio frequency processing on the signal output by the baseband processing circuit 254 to obtain a radio frequency signal.

And an antenna 256 for transmitting the radio frequency signal 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 in the embodiment of the present application, and 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 content of the first and second substances,

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 to obtain a baseband frequency domain signal;

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

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

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

the baseband processing circuit 266 is configured to perform baseband processing on the target signal.

The above description of the apparatus embodiment is similar to the above description of the method embodiment, with similar beneficial effects as the method embodiment. 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 embodiments of the method 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, wherein the memory 271 stores computer programs which can run on the processor 272, and the processor 272 realizes the steps of the information processing method provided in the above embodiment when executing the programs.

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

Accordingly, a computer-readable storage medium is provided in an embodiment of the present application, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps in the wireless signal compensation method or the numerical value determination method provided in the above-described embodiments.

Here, it should be noted that: the above description of the storage medium and device embodiments is similar to the description of the method embodiments above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and apparatus of the present application, reference is made to the description of the embodiments of the method 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 embodiments 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 the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application. The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits 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 an … …" 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 the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.

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

In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.

Alternatively, the integrated units described above in the present application may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in the form of a software product, which is stored in a storage medium and includes 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 removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.

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

Features disclosed in several of the product embodiments provided in the present application may be combined in any combination to yield new product embodiments without conflict.

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

The above description is only for the embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present application, and shall be covered by the 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 a fitting function for wireless signal compensation according to the current state information; wherein the set of target parameter values comprises a first set of numbers for amplitude compensation and/or a second set of numbers for phase compensation;

determining a target compensation factor for at least one frequency component of the wireless signal based on the fit function and the set of target parameter values;

and compensating the corresponding frequency component in the wireless signal by using the target compensation coefficient of each frequency component to obtain a target signal.

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

determining an identifier of the current state information;

acquiring a group of target parameter values corresponding to the identification from a plurality of groups of prestored parameter values of the fitting function; and the number set in each group of parameter values is obtained by performing curve fitting on the sample compensation coefficients corresponding to a plurality of different frequencies obtained under corresponding state information.

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

accordingly, the number of the first and second electrodes,

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 includes: and compensating the corresponding sub-carrier in the wireless signal by using the target compensation coefficient of each sub-carrier to obtain a target signal.

4. The method of claim 1, wherein in the case that 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;

accordingly, the number of the first and second electrodes,

the determining a target compensation factor 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 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 includes:

compensating the corresponding subcarriers in the frequency domain signal to be compensated by using the target compensation coefficient of each subcarrier to obtain a compensated frequency domain signal;

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

5. The method of claim 2, wherein the sample compensation coefficients are amplitude sample coefficients or phase sample coefficients, and the method for determining the sample compensation coefficients comprises:

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 performing N times of experiments on a signal 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.

6. The method of claim 3, further comprising:

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

and if the discrete 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.

7. The method of claim 6, further comprising:

if the discrete degree of the M original compensation coefficients does not meet the aggregation condition, re-determining the deviation value between each coefficient in the M original compensation coefficients and the mean value of the M original compensation coefficients;

discarding the coefficient of which the re-determined deviation value does not meet the deviation condition from 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.

8. The method according to claim 6 or 7, characterized in that the deviating 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.

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

10. The method of any one of claims 1 to 8, 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 determined from an error between the fitting function value at the at least one frequency and the sample compensation coefficients.

11. The method according to any of claims 1 to 8, wherein the status information comprises at least one of:

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

12. The wireless signal compensation method is used for compensating the generated baseband frequency domain signal, and is characterized in that 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 corresponding baseband frequency domain signal compensation according to the current state information; wherein the set of target parameter values comprises a first set of numbers for amplitude compensation and/or a second set of numbers for phase compensation;

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

and compensating 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.

13. The method of claim 12, further comprising:

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.

14. The method of claim 12, wherein the current state information comprises 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.

15. A wireless signal compensation method for compensating a received baseband frequency domain signal, the method being applied to a wireless signal receiving end, the method comprising:

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 of numbers for amplitude compensation and/or a second set of numbers for phase compensation;

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

and performing baseband processing on the target signal.

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

performing radio frequency processing on the received radio frequency signal to obtain a baseband time domain signal;

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

17. The method of claim 15, wherein the current state information comprises at least one of:

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

18. A method of value determination, the method comprising:

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

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 number set in the group 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.

19. A wireless signal compensation apparatus for compensating a wireless signal, the apparatus comprising:

the parameter acquisition module is used for acquiring a group of target parameter values of a corresponding fitting function for wireless signal compensation according to the current state information; wherein the set of target parameter values comprises a first set of numbers for amplitude compensation and/or a second set of numbers 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 using the target compensation coefficient of each frequency component to obtain a target signal.

20. An electronic device, comprising:

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

a numerical operation circuit 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 circuit is used for compensating the corresponding frequency component in the wireless signal by using the target compensation coefficient of each frequency component to obtain a target signal.

21. A wireless signal transmission device, comprising:

the processor is used for acquiring 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 of numbers for amplitude compensation and/or a second set of numbers for phase compensation;

a numerical operation circuit for determining a target compensation coefficient for at least one frequency component of the baseband frequency domain signal based on 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 using the target compensation coefficient of each frequency component to obtain a target signal.

22. The apparatus of claim 21, further comprising:

the baseband processing circuit is used for performing 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 sending the radio frequency signal to the wireless signal receiving equipment.

23. A wireless signal receiving apparatus, comprising:

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 of numbers for amplitude compensation and/or a second set of numbers for phase compensation;

the signal compensation circuit is used for compensating 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;

and the baseband processing circuit is used for performing baseband processing on the target signal.

24. The apparatus of claim 23, further comprising:

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

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

25. A 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 number set in the group of parameter values;

26. Electronic device comprising a memory and a processor, said memory storing a computer program operable on said processor, wherein said processor when executing said program performs the steps of the method for radio signal compensation according to any of claims 1 to 17 or wherein said processor when executing said program performs the steps of the method for value determination according to claim 18.

27. Computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for radio signal compensation according to any one of claims 1 to 17, or which, when being executed by a processor, carries out the steps of the method for numerical determination according to claim 18.