CN115051939B - Group delay estimation method and device - Google Patents
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- CN115051939B CN115051939B CN202210972022.9A CN202210972022A CN115051939B CN 115051939 B CN115051939 B CN 115051939B CN 202210972022 A CN202210972022 A CN 202210972022A CN 115051939 B CN115051939 B CN 115051939B
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Abstract
The disclosure relates to the technical field of communication, and provides a group delay estimation method and device. The method comprises the following steps: acquiring target system parameters of a target communication system; respectively calculating a first channel response and a second channel response of the first reference symbol and the second reference symbol after passing through the target communication system according to the target system parameters; performing correlation calculation through the first channel response and the second channel response to obtain a target sequence; and determining the target phase offset of the target sequence, and filtering the target phase offset to obtain a group delay estimation value corresponding to the target communication system. By adopting the technical means, the problem that the estimation accuracy of the group delay in the orthogonal frequency division multiplexing system is low in the prior art is solved.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a group delay estimation method and apparatus.
Background
Multicarrier Modulation (Multicarrier Modulation) employs multiple carrier signals. It splits the data stream into several sub-streams, so that the sub-streams have a much lower transmission bit rate, and uses these data to modulate several carriers, respectively. For example, OFDM is one of the multicarrier modulation techniques. OFDM (Orthogonal Frequency Division Multiplexing). Group delay estimation is required in either communication technology. But the estimation accuracy of the group delay in the orthogonal frequency division multiplexing system is low at present.
In the course of implementing the disclosed concept, the inventors found that there are at least the following technical problems in the related art: the estimation accuracy of the group delay in the orthogonal frequency division multiplexing system is low at present.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide a group delay estimation method, apparatus, electronic device, and computer-readable storage medium, so as to solve the problem in the prior art that the accuracy of estimating the group delay in the orthogonal frequency division multiplexing system is low.
In a first aspect of the embodiments of the present disclosure, a group delay estimation method is provided, which is applied to an orthogonal frequency division multiplexing system, and is characterized by including: acquiring target system parameters of a target communication system; respectively calculating a first channel response and a second channel response of the first reference symbol and the second reference symbol after passing through the target communication system according to the target system parameters; performing correlation calculation through the first channel response and the second channel response to obtain a target sequence; and determining the target phase offset of the target sequence, and filtering the target phase offset to obtain a group delay estimation value corresponding to the target communication system.
In a second aspect of the embodiments of the present disclosure, a group delay estimation apparatus is provided, which is applied to an orthogonal frequency division multiplexing system, and includes: an acquisition module configured to acquire target system parameters of a target communication system; the first calculation module is configured to calculate a first channel response and a second channel response of the first reference symbol and the second reference symbol after passing through the target communication system respectively according to the target system parameters; the second calculation module is configured to perform correlation calculation through the first channel response and the second channel response to obtain a target sequence; and the determining module is configured to determine a target phase offset of the target sequence and filter the target phase offset to obtain a group delay estimation value corresponding to the target communication system.
In a third aspect of the embodiments of the present disclosure, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.
In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, which stores a computer program, which when executed by a processor, implements the steps of the above-mentioned method.
Compared with the prior art, the embodiment of the disclosure has the following beneficial effects: acquiring target system parameters of a target communication system; respectively calculating a first channel response and a second channel response of the first reference symbol and the second reference symbol after passing through the target communication system according to the target system parameters; performing correlation calculation through the first channel response and the second channel response to obtain a target sequence; and determining the target phase offset of the target sequence, and filtering the target phase offset to obtain a group delay estimation value corresponding to the target communication system. By adopting the technical means, the problem that the estimation accuracy of the group delay in the orthogonal frequency division multiplexing system is low in the prior art is solved, and the estimation accuracy of the group delay in the orthogonal frequency division multiplexing system is further improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive efforts.
FIG. 1 is a scenario diagram of an application scenario of an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a group delay estimation method according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a group delay estimation apparatus according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a determination module provided by an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular system structures, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
A group delay estimation method and apparatus according to an embodiment of the present disclosure will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a scene schematic diagram of an application scenario of an embodiment of the present disclosure. The application scenario may include terminal devices 101, 102, and 103, server 104, and network 105.
The terminal devices 101, 102, and 103 may be hardware or software. When terminal devices 101, 102, and 103 are hardware, they may be various electronic devices having a display screen and supporting communication with server 104, including but not limited to smart phones, tablets, laptop portable computers, desktop computers, and the like; when the terminal apparatuses 101, 102, and 103 are software, they can be installed in the electronic apparatus as above. The terminal devices 101, 102, and 103 may be implemented as a plurality of software or software modules, or may be implemented as a single software or software module, which is not limited by the embodiment of the present disclosure. Further, various applications, such as a data processing application, an instant messaging tool, social platform software, a search type application, a shopping type application, and the like, may be installed on the terminal devices 101, 102, and 103.
The server 104 may be a server providing various services, for example, a backend server receiving a request sent by a terminal device establishing a communication connection with the server, and the backend server may receive and analyze the request sent by the terminal device, and generate a processing result. The server 104 may be a server, may also be a server cluster composed of a plurality of servers, or may also be a cloud computing service center, which is not limited in this disclosure.
The server 104 may be hardware or software. When the server 104 is hardware, it may be various electronic devices that provide various services to the terminal devices 101, 102, and 103. When the server 104 is software, it may be multiple software or software modules providing various services for the terminal devices 101, 102, and 103, or may be a single software or software module providing various services for the terminal devices 101, 102, and 103, which is not limited by the embodiment of the present disclosure.
The network 105 may be a wired network connected by a coaxial cable, a twisted pair and an optical fiber, or may be a wireless network that can interconnect various Communication devices without wiring, for example, bluetooth (Bluetooth), near Field Communication (NFC), infrared (Infrared), and the like, which is not limited in the embodiment of the present disclosure.
A user can establish a communication connection with the server 104 via the network 105 through the terminal apparatuses 101, 102, and 103 to receive or transmit information or the like. It should be noted that specific types, numbers, and combinations of the terminal devices 101, 102, and 103, the server 104, and the network 105 may be adjusted according to actual needs of an application scenario, which is not limited in this disclosure.
Fig. 2 is a schematic flow chart of a group delay estimation method according to an embodiment of the present disclosure. The group delay estimation method of fig. 2 may be performed by the terminal device or the server of fig. 1. As shown in fig. 2, the group delay estimation method includes:
s201, acquiring target system parameters of a target communication system;
s202, respectively calculating a first channel response and a second channel response of the first reference symbol and the second reference symbol after passing through the target communication system according to the target system parameters;
s203, performing correlation calculation through the first channel response and the second channel response to obtain a target sequence;
and S204, determining the target phase offset of the target sequence, and filtering the target phase offset to obtain a group delay estimation value corresponding to the target communication system.
For example, the following steps are carried out: the target communication system occupies a bandwidth of 270rb, the number of in-band subcarriers is 3240, and a measurement slot comprises 14 symbols including 2 reference symbols. The first channel estimation response and the second channel estimation response are obtained respectively according to the 2 reference symbols. And then carrying out conjugate correlation on the two groups of channel estimation responses to obtain a target sequence. And determining a target phase offset of the target sequence, and filtering the target sequence to obtain the phase offset caused by the group delay at 3240 subcarrier positions more accurately. The filtered result may be divided by the time difference between the two symbols as the group delay estimate for the target communication system.
The target system parameters are parameters of the target system and may include: bandwidth, baud rate, subcarrier interval, subcarrier number, frequency and transmission medium of each subcarrier, and the target system is an orthogonal frequency division multiplexing system. The first reference symbol and the second reference symbol may be ZC (Zadoff-chu) sequences, ZC (Zadoff-chu) is a kind of communication signal, and reference symbol sequences of LTE/NR systems are generally ZC sequences. The reference symbols are known signals.
And respectively calculating a first channel response and a second channel response of the first reference symbol and the second reference symbol after passing through the target communication system according to the target system parameters, namely inputting the first reference symbol and the second reference symbol into the target communication system and outputting the first channel response and the second channel response. The target phase offset is an estimate of the group delay with interference for the target communication system. Because the group delay is continuous along with the variation characteristic of the sub-carriers, in order to filter the phase jump factor generated by the calculation of different sub-carriers, a low-pass filter can be adopted to filter the influence of the phase jump factor. And filtering the target phase deviation to obtain a real group delay estimation value corresponding to the target communication system.
Since the target system is an orthogonal frequency division multiplexing system, the present disclosure is a multi-carrier communication, the target communication system has a plurality of sub-carriers, and the first channel response and the second channel response each have a plurality of channel responses, wherein each sub-carrier corresponds to one channel response.
According to the technical scheme provided by the embodiment of the disclosure, target system parameters of a target communication system are obtained; respectively calculating a first channel response and a second channel response of the first reference symbol and the second reference symbol after passing through the target communication system according to the target system parameters; performing correlation calculation through the first channel response and the second channel response to obtain a target sequence; and determining the target phase offset of the target sequence, and filtering the target phase offset to obtain a group delay estimation value corresponding to the target communication system. By adopting the technical means, the problem that the estimation accuracy of the group delay in the orthogonal frequency division multiplexing system is low in the prior art is solved, and the estimation accuracy of the group delay in the orthogonal frequency division multiplexing system is further improved.
In step 203, performing correlation calculation through the first channel response and the second channel response to obtain a target sequence, including: dividing the first channel response by the second channel response to obtain a target sequence; or multiplying the first channel response by the conjugate of the second channel response to obtain the target sequence.
For example, the conjugate of x + yi is x-yi, and i is an imaginary unit.
After step 204 is executed, that is, after determining a target phase offset of the target sequence and filtering the target phase offset to obtain a group delay estimation value corresponding to the target communication system, the method further includes: acquiring a target channel response received by a receiving end of a target communication system; performing fast Fourier transform on the target channel response to obtain a transform result; and compensating the transformation result based on the group delay estimation value to obtain a target signal, wherein the target signal is a signal transmitted through a target communication system.
And acquiring a target channel response received by a receiving end of the target communication system, namely acquiring the target channel response output by the target communication system. Before the target channel response is subjected to fast Fourier transform, operations such as analog-to-digital conversion (conversion from an analog signal to a digital signal), serial-to-parallel conversion (conversion from a serial signal to a parallel signal), CP (removal of cyclic prefix) and the like can be performed; the target channel response is subjected to fast fourier transform to obtain a carrier and a target signal, and the transform result refers to the target signal (actually, since the target channel response is a plurality of responses, the fast fourier transform is performed on the target channel response to obtain a plurality of subcarriers and a plurality of signals, and the target signal can be obtained by combining the plurality of signals).
And compensating the transformation result based on the group delay estimation value to obtain a target signal. Such as: the group delay estimate is positive 5 degrees and then negative 5 degrees of compensation needs to be added to the transformed result.
In an alternative embodiment, the method comprises: acquiring system parameters of a plurality of communication systems, and determining a group delay estimation value of each communication system by using a vector network analyzer; fitting the system parameters and the group delay estimated value of each communication system to obtain a fitting result, and constructing a mathematical model according to the fitting result; training a neural network model by using system parameters and group delay estimation values of a plurality of communication systems to obtain a group delay test model; acquiring target system parameters of a target communication system; and inputting the parameters of the target system into a mathematical model or a group delay test model to obtain a group delay estimated value corresponding to the target communication system.
The vector network analyzer may measure a phase frequency characteristic of a communication system, and may determine a group delay estimate for the communication system based on the phase frequency characteristic of the communication system. In order to improve the efficiency of calculating the corresponding group delay estimate for the communication system, the embodiments of the present disclosure rely on a mathematical model or a neural network model.
The fitting process may be any one of the fitting methods commonly used, such as a least squares fitting method. And fitting the system parameters and the group delay estimated value of each communication system, wherein the system parameters are used as independent variables, and the group delay estimated value is used as a dependent variable. The fitting result may be understood as a function, and a mathematical model is constructed according to the fitting result, and the function may be used as a main body, and a function for receiving data, a function for outputting data, and the like of the mathematical model may be added.
And training the neural network model by using the system parameters and the group delay estimated values of a plurality of communication systems, wherein the system parameters are used as samples, and the group delay estimated values are used as labels. The neural network model in the present disclosure may be any one of the common neural network models, such as fast-rcnn.
In an alternative embodiment, target system parameters of a target communication system are obtained; inputting the target system parameters into a mathematical model and a group delay test model respectively to obtain a first estimation value and a second estimation value; and summing the first estimation value and the second estimation value according to a certain weight, and then averaging to obtain a group delay estimation value corresponding to the target communication system.
The embodiment of the disclosure comprehensively considers a mathematical model or a neural network model, and can improve the accuracy of the group delay estimation value corresponding to the target communication system.
After performing step 201, that is, after acquiring the target system parameters of the target communication system, the method further includes: calculating a first channel response of the first reference symbol after the first reference symbol passes through the target communication system according to the target system parameters; determining a target phase offset of the first channel response relative to the first reference symbol; and filtering the target phase offset to obtain a group delay estimation value corresponding to the target communication system.
When a broadband signal passes through a medium transmission path or a linear element in equipment, the phase velocities of the spectral components are different, and the response of the element to the spectral components is also different, which can cause the phase relation of the signal reaching a receiving end to be disordered due to the difference of the phase offset or the time delay of the frequency components, namely phase distortion. Phase distortion will cause the FM signal string noise to increase image signal distortion or generate intersymbol interference. Phase distortion is measured as the difference in delay between a group of frequency components and is referred to as group delay.
The embodiment of the disclosure determines a target phase offset of a first channel response relative to a first reference symbol based on a group delay principle, and further determines a group delay estimation value corresponding to a target communication system.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 3 is a schematic diagram of a group delay estimation apparatus according to an embodiment of the present disclosure. As shown in fig. 3, the group delay estimation apparatus includes:
an obtaining module 301 configured to obtain target system parameters of a target communication system;
a first calculating module 302 configured to calculate a first channel response and a second channel response of the first reference symbol and the second reference symbol after passing through the target communication system, respectively, according to the target system parameter;
a second calculating module 303, configured to perform correlation calculation through the first channel response and the second channel response to obtain a target sequence;
the determining module 304 is configured to determine a target phase offset of the target sequence, and filter the target phase offset to obtain a group delay estimation value corresponding to the target communication system.
The target system parameters are parameters of the target system and may include: bandwidth, baud rate, subcarrier interval, subcarrier number, frequency of each subcarrier, transmission medium and the like, and the target system is an orthogonal frequency division multiplexing system. The first reference symbol and the second reference symbol may be ZC (Zadoff-chu) sequences, ZC (Zadoff-chu) is a kind of communication signal, and reference symbol sequences of LTE/NR systems are generally ZC sequences.
And respectively calculating a first channel response and a second channel response of the first reference symbol and the second reference symbol after passing through the target communication system according to the target system parameters, namely inputting the first reference symbol and the second reference symbol into the target communication system and outputting the first channel response and the second channel response. The target phase offset of the target sequence may be regarded as a phase offset of the target communication system with respect to the signal to be transmitted, that is, an estimation value of group delay with interference corresponding to the target communication system. Because the group delay is continuous along with the variation characteristic of the sub-carriers, in order to filter out the phase jump factors generated by different sub-carrier calculations, a low-pass filter can be adopted to filter out the influence of the phase jump factors. And filtering the target phase offset to obtain a real group delay estimation value corresponding to the target communication system.
Since the target system is an orthogonal frequency division multiplexing system, the present disclosure is multicarrier communication, the target communication system has a plurality of subcarriers, and the first channel response and the second channel response each have a plurality of channel responses, wherein each subcarrier corresponds to a channel response.
According to the technical scheme provided by the embodiment of the disclosure, target system parameters of a target communication system are obtained; respectively calculating a first channel response and a second channel response of the first reference symbol and the second reference symbol after passing through the target communication system according to the target system parameters; performing correlation calculation through the first channel response and the second channel response to obtain a target sequence; and determining the target phase offset of the target sequence, and filtering the target phase offset to obtain a group delay estimation value corresponding to the target communication system. By adopting the technical means, the problem that the estimation accuracy of the group delay in the orthogonal frequency division multiplexing system is low in the prior art is solved, and the estimation accuracy of the group delay in the orthogonal frequency division multiplexing system is further improved.
Optionally, the second calculating module 303 is further configured to divide the first channel response by the second channel response to obtain the target sequence; or multiplying the conjugate of the second channel response by the first channel response to obtain the target sequence.
For example, the conjugate of x + yi is x-yi, and i is an imaginary unit.
Fig. 4 is a schematic diagram of a determining module provided in an embodiment of the present disclosure. As shown in fig. 4, the determining module includes: a first unit, further configured to acquire a target channel response received by a receiving end of the target communication system; a second unit, further configured to perform fast fourier transform on the target channel response to obtain a transform result; a third unit, configured to compensate the transformation result based on the group delay estimation value, so as to obtain a target signal, where the target signal is a signal transmitted through the target communication system.
And acquiring a target channel response received by a receiving end of the target communication system, namely acquiring the target channel response output by the target communication system. Before the target channel response is subjected to fast Fourier transform, operations such as analog-to-digital conversion (conversion from an analog signal to a digital signal), serial-to-parallel conversion (conversion from a serial signal to a parallel signal), CP (removal of cyclic prefix) and the like can be performed; the fast fourier transform is performed on the target channel response to obtain a carrier and a target signal, and the transform result refers to the target signal (actually, since the target channel response is a plurality of responses, the fast fourier transform is performed on the target channel response to obtain a plurality of subcarriers and a plurality of signals, and the target signal can be obtained by combining the plurality of signals).
And compensating the transformation result based on the group delay estimation value to obtain a target signal. Such as: the group delay estimate is positive 5 degrees and then negative 5 degrees of compensation needs to be added to the pair transform result.
Optionally, the obtaining module 301 is further configured to obtain system parameters of a plurality of communication systems, and determine a group delay estimation value of each communication system by using a vector network analyzer; fitting the system parameters and the group delay estimation values of each communication system to obtain a fitting result, and constructing a mathematical model according to the fitting result; training a neural network model by using system parameters and group delay estimation values of a plurality of communication systems to obtain a group delay test model; acquiring target system parameters of a target communication system; and inputting the parameters of the target system into a mathematical model or a group delay test model to obtain a group delay estimated value corresponding to the target communication system.
The vector network analyzer may measure a phase frequency characteristic of a communication system, and may determine a group delay estimate for the communication system based on the phase frequency characteristic of the communication system. To improve the efficiency of calculating the group delay estimate for the communication system, embodiments of the present disclosure rely on mathematical models or neural network models.
The fitting process may be any one of the fitting methods commonly used, such as a least squares fitting method. And fitting the system parameters and the group delay estimated value of each communication system, wherein the system parameters are used as independent variables, and the group delay estimated value is used as a dependent variable. The fitting result may be understood as a function, and a mathematical model is constructed according to the fitting result, and the function may be used as a main body, and a function for receiving data, a function for outputting data, and the like of the mathematical model may be added.
The neural network model is trained by using system parameters and group delay estimation values of a plurality of communication systems, wherein the system parameters are used as samples, and the group delay estimation values are used as labels. The neural network model in the present disclosure may be any one of the common neural network models, such as faster-rcnn.
Optionally, the obtaining module 301 is further configured to obtain target system parameters of the target communication system; inputting target system parameters into a mathematical model and a group delay test model respectively to obtain a first estimation value and a second estimation value; and summing the first estimation value and the second estimation value according to a certain weight, and then averaging to obtain a group delay estimation value corresponding to the target communication system.
The embodiment of the disclosure comprehensively considers a mathematical model or a neural network model, and can improve the accuracy of the group delay estimation value corresponding to the target communication system.
Optionally, the obtaining module 301 is further configured to calculate a first channel response of the first reference symbol after passing through the target communication system according to the target system parameter; determining a target phase offset of the first channel response relative to the first reference symbol; and filtering the target phase offset to obtain a group delay estimation value corresponding to the target communication system.
When a broadband signal passes through a medium transmission path or a linear element in equipment, the phase velocities of the spectral components are different, and the response of the element to the spectral components is also different, which causes the disturbance of the phase relationship, i.e. phase distortion, of the signal reaching a receiving end due to the difference of the phase shift or the time delay of the frequency components. Phase distortion will cause the fm signal train noise to increase image signal distortion or produce intersymbol interference. Phase distortion is measured as the difference in delay between a group of frequency components and is referred to as group delay.
The embodiment of the disclosure is based on the principle of group delay, and determines the target phase offset of the first channel response relative to the first reference symbol, so as to determine the group delay estimation value corresponding to the target communication system.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.
Fig. 5 is a schematic diagram of an electronic device 5 provided in an embodiment of the present disclosure. As shown in fig. 5, the electronic apparatus 5 of this embodiment includes: a processor 501, a memory 502, and a computer program 503 stored in the memory 502 and operable on the processor 501. The steps in the various method embodiments described above are implemented when the processor 501 executes the computer program 503. Alternatively, the processor 501 implements the functions of the respective modules/units in the above-described respective apparatus embodiments when executing the computer program 503.
The electronic device 5 may be an electronic device such as a desktop computer, a notebook, a palm computer, and a cloud server. The electronic device 5 may include, but is not limited to, a processor 501 and a memory 502. Those skilled in the art will appreciate that fig. 5 is merely an example of the electronic device 5, and does not constitute a limitation of the electronic device 5, and may include more or less components than those shown, or different components.
The Processor 501 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc.
The storage 502 may be an internal storage unit of the electronic device 5, for example, a hard disk or a memory of the electronic device 5. The memory 502 may also be an external storage device of the electronic device 5, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the electronic device 5. The memory 502 may also include both internal and external storage units of the electronic device 5. The memory 502 is used for storing computer programs and other programs and data required by the electronic device.
It should be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units and modules is only used for illustration, and in practical applications, the above function distribution may be performed by different functional units and modules as needed, that is, the internal structure of the device is divided into different functional units or modules, so as to perform all or part of the above described functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the present disclosure may implement all or part of the flow of the method in the above embodiments, and may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the above methods and embodiments. The computer program may comprise computer program code which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the computer-readable medium may contain suitable additions or subtractions depending on the requirements of legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer-readable media may not include electrical carrier signals or telecommunication signals in accordance with legislation and patent practice.
The above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present disclosure, and are intended to be included within the scope of the present disclosure.
Claims (8)
1. A group delay estimation method is applied to an orthogonal frequency division multiplexing system and is characterized by comprising the following steps:
acquiring target system parameters of a target communication system;
respectively calculating a first channel response and a second channel response of a first reference symbol and a second reference symbol after the first reference symbol and the second reference symbol pass through the target communication system according to the target system parameters;
performing correlation calculation through the first channel response and the second channel response to obtain a target sequence;
determining a target phase offset of the target sequence, performing low-pass filtering on the target phase offset, and dividing a result after the low-pass filtering by a time difference between two reference symbols to obtain a group delay estimation value corresponding to the target communication system;
wherein, performing correlation calculation through the first channel response and the second channel response to obtain a target sequence, includes: dividing the first channel response by the second channel response to obtain the target sequence; or multiplying the conjugate of the second channel response by the first channel response to obtain the target sequence.
2. The method of claim 1, wherein after determining the target phase offset of the target sequence, performing low-pass filtering on the target phase offset, and dividing a result of the low-pass filtering by a time difference between two reference symbols to obtain an estimated group delay value corresponding to the target communication system, the method further comprises:
acquiring a target channel response received by a receiving end of the target communication system;
performing fast Fourier transform on the target channel response to obtain a transform result;
and compensating the transformation result based on the group delay estimation value to obtain a target signal, wherein the target signal is a signal transmitted through the target communication system.
3. The method of claim 1, comprising:
acquiring system parameters of a plurality of communication systems, and determining a group delay estimation value of each communication system by using a vector network analyzer;
fitting the system parameters and the group delay estimated value of each communication system to obtain a fitting result, and constructing a mathematical model according to the fitting result;
training a neural network model by using system parameters and group delay estimation values of a plurality of communication systems to obtain a group delay test model;
acquiring target system parameters of a target communication system;
and inputting the target system parameters into the mathematical model or the group delay test model to obtain a group delay estimation value corresponding to the target communication system.
4. The method of claim 1, wherein after obtaining the target system parameters of the target communication system, the method further comprises:
calculating a first channel response of a first reference symbol after the first reference symbol passes through the target communication system according to the target system parameter;
determining a target phase offset of the first channel response relative to the first reference symbol;
and performing low-pass filtering on the target phase offset to obtain a group delay estimation value corresponding to the target communication system.
5. A group delay estimation device is applied to an orthogonal frequency division multiplexing system, and is characterized by comprising:
an acquisition module configured to acquire target system parameters of a target communication system;
a first calculation module configured to calculate a first channel response and a second channel response of the first reference symbol and the second reference symbol after passing through the target communication system according to the target system parameter;
a second calculation module configured to perform correlation calculation on the first channel response and the second channel response to obtain a target sequence;
the determining module is configured to determine a target phase offset of the target sequence, perform low-pass filtering on the target phase offset, and divide a time difference between two reference symbols by using a result after the low-pass filtering to obtain a group delay estimation value corresponding to the target communication system;
the second calculation module is further configured to divide the first channel response by the second channel response to obtain the target sequence; or multiplying the first channel response by the conjugate of the second channel response to obtain the target sequence.
6. The apparatus of claim 5, wherein the determining module comprises:
a first unit further configured to acquire a target channel response received by a receiving end of the target communication system;
a second unit, configured to perform fast fourier transform on the target channel response to obtain a transform result;
a third unit, configured to compensate the transformation result based on the group delay estimation value, so as to obtain a target signal, where the target signal is a signal transmitted through the target communication system.
7. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 4 when executing the computer program.
8. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of a method according to any one of claims 1 to 4.
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