An OTFS Peak-to-Average Power Ratio Reduction Method, Device and Electronic Device Based on a Preset Peak Clipping Signal

Abstract

An embodiment of the present invention provides a method, device, electronic device and readable storage medium for OTFS peak-to-average power ratio (PAPR) suppression based on a preset peak clipping signal, which are applied to the field of wireless communication technologies. The method includes: embedding a pilot signal in a time-delay-Doppler domain OTFS signal frame and setting a guard interval to obtain an initial time-delay-Doppler domain transmission signal; performing clipping filtering on the transmission signal to obtain a clipping filtering noise signal; calculating an ideal peak clipping signal according to an analog noise coefficient; establishing a loss function, solving a peak clipping coefficient, and updating the transmission signal according to the peak clipping coefficient; and determining whether the method ends according to the number of iterations. This method can take into account the good bit error rate performance of the system while suppressing the PAPR of the OTFS signal.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technologies, and in particular, to an OTFS peak-to-average power ratio suppression method, apparatus, and electronic device based on a preset peak clipping signal. Background Art

[0002] The 6G era faces faster mobile communications. In such a scenario, the orthogonal frequency division multiplexing (OFDM) modulation widely used in 4G and 5G communication systems will experience performance degradation due to significant Doppler frequency shifts. The orthogonal time frequency space (OTFS) modulation technology proposed in recent years has received extensive attention because it can address the above problems. However, as a multi-carrier system, OTFS has the problem of too high peak-to-average power ratio (PAPR), which will cause nonlinear distortion when the signal passes through a power amplifier, resulting in the deterioration of the system bit error rate. Therefore, how to reduce the PAPR of OTFS signals is a key issue.

[0003] The existing peak-to-average power ratio suppression methods for OTFS are mainly the μ-law companding method and the iterative clipping and filtering method. However, both of these methods will cause nonlinear distortion of the signal. Especially in a pilot-embedded OTFS system, this will also cause distortion of the pilot signal, resulting in inaccurate subsequent channel estimation and greatly deteriorating the bit error rate. In actual communication, the system often requires a low bit error rate. Therefore, how to balance the good bit error rate performance of the system while suppressing the PAPR of OTFS signals is still an urgent problem to be solved. Summary of the Invention

[0004] The purpose of the embodiments of the present invention is to provide an OTFS peak-to-average power ratio suppression method, apparatus, electronic device, and readable storage medium based on a preset peak clipping signal, so as to achieve PAPR suppression of OTFS signals while taking into account the good bit error rate performance of the system. Assume that the number of delay grids in the OTFS system is M, and the number of Doppler grids is N.

[0005] The specific technical solutions are as follows:

[0006] In a first aspect, the embodiments of the present invention provide an OTFS peak-to-average power ratio suppression method based on a preset peak clipping signal, and the method includes:

[0007] Step S101: Reserve grids in the OTFS time-delay Doppler domain signal frame that are only used to carry the peak clipping signal, and use the remaining grids to carry the initial data signal and the pilot signal to obtain the initial time-delay Doppler domain transmission signal x[m,n], and obtain the time-domain transmission signal s(t) through the symplectic inverse finite Fourier transform and the Heisenberg transform;

[0008] Step S102: Create a clipping function according to the system target peak-to-average ratio level to perform clipping processing on s(t), and perform filtering in the time-delay Doppler domain according to the filtering function to obtain the time-delay Doppler domain clipped and filtered noise signal d f [m,n];

[0009] Step S103: Obtain the time-delay Doppler domain ideal peak clipping signal according to the analog noise coefficient and according to the method reserve the grid position, and perform processing on to obtain the reference peak clipping signal Subsequently, perform and through the symplectic inverse finite Fourier transform and the Heisenberg transform to obtain the time-domain ideal peak clipping signal and the time-domain reference peak clipping signal

[0010] Step S104: Design a loss function L with respect to and according to the least squares method, and solve for the peak clipping coefficient μ opt when L is minimized, and calculate and update the time-domain transmission signal after this method iteration according to μ opt Subsequently, increment the iteration count by 1;

[0011] Step S105: Determine whether the method has reached the maximum number of iterations. If it has, send the obtained in step S104 to the channel for transmission; otherwise, continue to perform signal processing on .

[0012] In a second aspect, an OTFS peak-to-average ratio suppression device based on a preset peak clipping signal, the device includes:

[0013] A parameter acquisition module, configured to acquire a clipping threshold based on the target peak-to-average ratio suppression level, acquire an analog noise coefficient, etc. based on the number of analog iterative clipping and filtering times, and acquire the coordinate parameters of the pilot embedding position and the preset maximum number of method iterations;

[0014] A function creation module, configured to create the clipping function and the filtering function by using the acquired parameters; create a loss function by using the time-domain ideal peak clipping signal and the initial transmission signal s(t); ​

[0015] A signal processing module, configured to input the original data in the time delay-Doppler domain into the clipping function and the filtering function for signal processing; obtain the clipped signal by using a loss function, and update the time-domain transmission signal;

[0016] An iterative processing module, configured to determine subsequent signal processing operations according to specific iteration times.

[0017] In a third aspect, an electronic device, comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete communication with each other through the communication bus;

[0018] The memory is used for storing a computer program;

[0019] When the processor is configured to execute the program stored on the memory, the steps of any one of the above-mentioned OTFS peak-to-average ratio suppression methods based on a preset clipped signal are implemented.

[0020] In a fourth aspect, a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any one of the above-mentioned OTFS peak-to-average ratio suppression methods based on a preset clipped signal are implemented.

[0021] Advantageous effects of the embodiments of the present invention:

[0022] In the technical solution provided by the embodiments of the present invention, only the clipped signal for suppressing the PAPR of the OTFS signal changes in the transmitted signal after each iteration update of the method, without causing distortion and distortion of the data signal and the pilot signal. Therefore, the accuracy of channel estimation at the subsequent receiving end can be guaranteed, that is, the technical solution has good BER performance. On the other hand, in the technical solution, the reference clipped signal is obtained by using the clipped filtering noise, and thus, out-of-band radiation can be suppressed to a certain extent, that is, the technical solution has good PSD performance. Of course, any product or method implementing the present invention does not necessarily need to achieve all the above-mentioned advantages simultaneously. Description of the Drawings

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0024] Figure 1Schematic flowchart of an OTFS peak-to-average power ratio (PAPR) suppression method based on a preset peak clipping signal provided by an embodiment of the present invention;

[0025] Figure 2 Overall flowchart block diagram of an OTFS PAPR suppression method based on a preset peak clipping signal provided by an embodiment of the present invention;

[0026] Figure 3 Schematic structural diagram of an OTFS PAPR suppression device based on a preset peak clipping signal provided by an embodiment of the present invention;

[0027] Figure 4 Schematic structural diagram of an electronic device provided by an embodiment of the present invention. Detailed implementation manners

[0028] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0029] An OTFS PAPR suppression method based on a preset peak clipping signal provided by an embodiment of the present invention can be applied to an electronic device for signal transmission or signal processing, and is used to process the original OTFS signal. While achieving the suppression of the PAPR of the original OTFS signal, it also takes into account good bit error rate performance. In specific applications, the above-mentioned electronic device can be a desktop computer, a portable computer, a mobile terminal, a wearable device, a server, and other devices.

[0030] Figure 1 Schematic flowchart of an OTFS PAPR suppression method based on a preset peak clipping signal provided by an embodiment of the present invention, Figure 2 For Figure 1 The corresponding overall flowchart block diagram includes the following steps:

[0031] Step S101, reserve grids in the OTFS time-delay - Doppler domain signal frame that are only used to carry the peak clipping signal, and the remaining grids are used to carry the initial data signal and the pilot signal, to obtain the initial time-delay - Doppler domain transmission signal x[m,n], and obtain the time-domain transmission signal s(t) through the inverse symplectic finite Fourier transform and the Heisenberg transform.

[0032] In specific applications, assume that the number of time-delay grids in the OTFS system is M, and the number of Doppler grids is N. Then, select L rows in the OTFS time-delay - Doppler domain signal frame that are only used to carry the peak clipping signal for suppressing the PAPR of the OTFS signal, and the remaining M - L rows are used to carry the initial data signal and the pilot signal.

[0033] The embedding method of the pilot signal can be expressed by the following formula:

[0034]

[0035] where m, n satisfy m = 0,..., M - 1, n = 0,..., N - 1, and m p , n p are the pilot embedding positions, satisfying 0 ≤ n p ≤ N - 1, 0 ≤ m p ≤ M - 1, and is the area for carrying data signals, and is the guard interval.

[0036] Step S102: Create a clipping function according to the system target peak-to-average power ratio level to perform clipping processing on s(t), and perform filtering in the time-delay Doppler domain according to the filtering function to obtain the time-delay Doppler domain clipped and filtered noise signal d f [m, n].

[0037] Specifically, it includes the following steps:

[0038] First, create a clipping function according to the system target peak-to-average power ratio level to perform clipping processing on s(t);

[0039] where the clipping function can be expressed as

[0040]

[0041] where A is the clipping threshold, which can be calculated according to the system target peak-to-average power ratio, φ(t) is the signal phase, and s'(t) is the clipped signal.

[0042] After that, perform filtering in the time-delay Doppler domain according to the filtering function;

[0043] where the filtering function can be expressed as

[0044]

[0045] where d[m, n] is the clipped noise in the time-delay Doppler domain, obtained by taking the difference between s'(t) and s(t) and transforming it into the time-delay Doppler domain, and is the area for filling data signals in the time-delay Doppler domain, and m p and n p are the positions for filling pilot signals in the time-delay Doppler domain, otherwise is the other area except for filling the data signals and the pilot signals, and d f [m, n] is the clipped and filtered noise signal.

[0046] Step S103: Obtain the ideal peak-clipping signal in the time-delay Doppler domain according to the simulated noise figure. And reserve grid positions according to the method, and perform processing to obtain the reference peak-clipping signal. Subsequently, and are subjected to inverse fast Fourier transform and Heisenberg transform to obtain the ideal peak-clipping signal in the time domain. and the reference peak-clipping signal in the time domain.

[0047] Specifically, it includes the following steps:

[0048] First, obtain the ideal peak-clipping signal in the time-delay Doppler domain according to the simulated noise figure.

[0049] Among them, the simulated noise figure is calculated by the following formula

[0050]

[0051] where A represents the limited amplitude value obtained from the target peak-to-average ratio, σ is the standard deviation of the complex Gaussian process, k is the number of simulation iterations, and α is an intermediate calculation quantity.

[0052] After that, retain the data at the grid positions reserved by the method in x[m,n], and set the data at the remaining positions to zero to obtain the reference peak-clipping signal. It can be expressed as:

[0053]

[0054] where the is the set of reserved grid positions, and otherwise represents the complement in the time-delay Doppler domain.

[0055] Step S104: Design a loss function L with respect to and according to the least squares method, and solve for the peak-clipping coefficient μ when L is minimized. opt , according to μ opt calculate and update the time-domain transmitted signal after this method iteration. Subsequently, increment the iteration count by 1.

[0056] Specifically, it includes the following steps:

[0057] First, substitute and into the least squares method to obtain the loss function;

[0058] Among them, the loss function is

[0059]

[0060] where μ is the peak clipping coefficient, and this coefficient is used to approximate the ideal peak clipping signal. The w t is the weighting factor, which is obtained by calculating and standard deviation, that is and the greater the difference, the greater the weight. The is the set that satisfies

[0061] After that, solve the peak clipping coefficient μ when L is minimized opt ;

[0062] The peak clipping coefficient μ opt and and satisfy the following equation

[0063]

[0064] where the w t can be expressed as

[0065] Finally, multiply μ opt by the reference peak clipping signal and add the obtained peak clipping signal to s(t) to obtain a new time-domain transmission signal which can be expressed as:

[0066]

[0067] where the μ opt is the peak clipping coefficient when L is minimized, and the s(t) is the initial time-domain transmission signal.

[0068] Step S105: Determine whether the method has reached the maximum number of iterations. If it has reached, transmit the obtained in step S104 to the channel for transmission; otherwise, continue to perform signal processing on

[0069] Beneficial effects of the embodiments of the present invention:

[0070] ​​In the technical solution provided by the embodiment of the present invention, only the peak clipping signal for suppressing the PAPR of the OTFS signal changes after each method iteration update, without causing distortion and distortion of the data signal and the pilot signal. Therefore, the accuracy of channel estimation at the subsequent receiving end can be ensured, that is, the technical solution has good BER performance. On the other hand, in the technical solution, the reference peak clipping signal is obtained by using the clipping filtering noise, and thus, out-of-band radiation can be suppressed to a certain extent, that is, the technical solution has good PSD performance. Of course, any product or method implementing the present invention does not necessarily need to achieve all the above advantages at the same time.

[0071] Corresponding to the above method embodiment, the embodiment of the present invention further provides an OTFS peak-to-average ratio suppression device based on a preset peak clipping signal.

[0072] Figure 3 It is a structural diagram of an OTFS peak-to-average ratio suppression device based on a preset peak clipping signal provided by the embodiment of the present invention, including:

[0073] A parameter acquisition module 401, configured to obtain a clipping threshold based on a target peak-to-average ratio suppression level, obtain an analog noise coefficient, etc. based on the number of simulated iterative clipping filtering times, and obtain coordinate parameters of a pilot embedding position and a preset maximum number of method iterations;

[0074] Among them, the analog noise coefficient is calculated by the following formula

[0075]

[0076] Where A represents the clipping threshold obtained from the target peak-to-average ratio, σ is the standard deviation of the complex Gaussian process, k is the number of simulated iterations, and α is an intermediate calculation quantity.

[0077] A function creation module 402, configured to create the clipping function and the filtering function by using the obtained parameters; create a loss function by using the time-domain ideal peak clipping signal and the initial transmission signal s(t);

[0078] This module specifically includes:

[0079] Create the clipping function by using the clipping threshold obtained by the parameter acquisition module;

[0080] Among them, the clipping function can be expressed as

[0081]

[0082] Where A is the clipping threshold, which can be calculated according to the system target peak-to-average ratio, φ(t) is the signal phase, and s'(t) is the clipped signal.

[0083] Create the filtering function by using the coordinate parameters of the pilot embedding position obtained by the parameter acquisition module;

[0084] Among them, the filtering function can be expressed as

[0085]

[0086] The d[m,n] is the clipped noise in the time-delay Doppler domain, is the region for filling the data signal in the initial time-delay Doppler domain, where m p and n p are the positions for filling the pilot signal in the initial time-delay Doppler domain, the otherwise is the other regions except the regions for filling the data signal and the pilot signal, and the d f [m,n] is the noise signal after clipped filtering.

[0087] Create a loss function by using the time-domain ideal clipped signal and the initial transmitted signal s(t);

[0088] Among them, the loss function is

[0089]

[0090] The μ is the clipping coefficient, which is used to approximate the ideal clipped signal, and the w t is the weighting factor, which is obtained by calculating the standard deviations of and , that is and The greater the difference, the greater the weight, and the is the set that satisfies .

[0091] The signal processing module 403 is configured to input the original data in the time-delay Doppler domain into the clipping function and the filtering function for signal processing; obtain the clipped signal by using the loss function and update the time-domain transmitted signal;

[0092] Among them, obtaining the clipped signal by using the loss function and updating the time-domain transmitted signal specifically includes:

[0093] Solve the clipping coefficient μ that minimizes L by using the loss function opt ;

[0094] The clipping coefficient μ opt and and satisfy the following equation

[0095]

[0096] Among them, the w t can be expressed as

[0097] Finally, multiply μ opt with the reference peak-clipping signal to obtain the peak-clipping signal and superimpose it on s(t) to obtain a new time-domain transmission signal which can be expressed as:

[0098]

[0099] Among them, the μ opt is the peak-clipping coefficient when L is minimized, and the s(t) is the initial time-domain transmission signal.

[0100] The iterative processing module 404 determines subsequent signal processing operations according to the specific number of iterations.

[0101] This module can be specifically described as:

[0102] Judge whether the method has reached the maximum number of iterations. If it has reached, send the time-domain signal after the method iteration update to the channel for transmission; otherwise, continue to perform signal processing on the time-domain signal.

[0103] Regarding the device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0104] An embodiment of the present invention also provides an electronic device, Figure 4 which is the structural diagram of the electronic device according to the embodiment of the present invention, including: a processor 501, a communication interface 502, a memory 503, and a communication bus 504. Among them, the processor 501, the communication interface 502, and the memory 503 complete mutual communication through the communication bus 504;

[0105] The memory 503 is used to store computer programs;

[0106] When the processor 501 executes the program stored in the memory 503, it implements the steps of any of the above-mentioned OTFS peak-to-average ratio suppression methods based on a preset peak-clipping signal.

[0107] The communication bus mentioned in the above electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. This communication bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience of representation, only a thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0108] The communication interface is used for communication between the above electronic device and other devices.

[0109] The memory may include a Random Access Memory (RAM), and may also include a Non-Volatile Memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located far from the aforementioned processor.

[0110] The above-mentioned processor may be a general-purpose processor, including a Central Processor Unit (CPU), a Network Processor (NP), etc.; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0111] The present invention also provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the steps of any of the above-mentioned OTFS peak-to-average ratio suppression methods based on a preset peak-clipping signal are implemented.

[0112] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more integrated available media. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid state disk (SSD)).

[0113] It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including", or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or device that includes a series of elements includes not only those elements but also other elements that are not explicitly listed, or also includes elements that are inherent to such process, method, article, or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article, or device that includes the element.

[0114] Each embodiment in this specification is described in a related manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the device and the electronic device, since they are basically similar to the method embodiments, the description is relatively simple. For the relevant parts, reference can be made to the partial description of the method embodiments.

[0115] The above are only the preferred embodiments of the present invention and are not intended to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are all included in the protection scope of the present invention.

Claims

1. A method for suppressing an orthogonal time-frequency-space (OTFS) peak-to-average power ratio (PAPR) based on a preset peak clipping signal, characterized in that: The method comprises: Step S101, in the delay-Doppler domain OTFS signal frame, a grid is reserved for carrying only the peak clipping signal, and the remaining grids are used to carry the initial data signal and the pilot signal, so as to obtain the initial delay-Doppler domain transmission signal x[m,n], and obtain the time domain transmission signal s(t) by symplectic finite inverse Fourier transform and Heisenberg transform; Step S102, creating a limiting function according to the system target peak-to-average ratio level to limit s(t), and filtering according to the filter function in the delay-Doppler domain to obtain the delay-Doppler domain limiting filter noise signal d f [m,n]; Step S103, obtaining an ideal peak clipping signal in the delay-Doppler domain according to the simulated noise coefficient And reserve the grid position according to the method in step S101, Processing to obtain reference peak clipping signal Then will and The ideal clipped signal in the time domain is obtained by symplectic finite inverse Fourier transform and Heisenberg transform. and time domain reference clipping signal Step S104, designing a least squares method for and The loss function L is calculated, and the peak-cutting coefficient μ is solved to minimize L. opt , according to μ opt Calculate and update the time domain transmission signal after this method iteration Then increase the number of iterations by 1; Step S105, determine whether the method has reached the maximum number of iterations. If it has reached the maximum number of iterations, Send to the channel for transmission; otherwise Continue with signal processing.

2. The method according to claim 1, characterized in that In the step S101, a grid is reserved in the OTFS delay-Doppler domain signal frame for carrying only the peak clipping signal, and the remaining grids are used to carry the initial data signal and the pilot signal, including: The grids reserved in the OTFS delay-Doppler domain signal frame are only used to carry the peak clipping signal, and the remaining grids are used to carry the initial data signal and the pilot signal, which is specifically described as follows: Assuming that the number of delay grids in the OTFS system is M and the number of Doppler grids is N, L rows are selected in the OTFS delay-Doppler domain signal frame to carry only the peak clipping signal used to suppress the PAPR of the OTFS signal, and the remaining ML rows are used to carry the initial data signal and the pilot signal; The embedding method of the pilot signal is expressed as follows: Wherein, m, n satisfy m=0,...,M-1, n=0,...,N-1, and x p is the pilot signal, the m p ,n p is the pilot embedding position, satisfying 0≤n p ≤N-1,0≤m p ≤M-1, the x d [m,n] is a signal carrying data, is the area carrying data signals, the For protection interval.

3. The method according to claim 1, characterized in that In step S102, a limiting function is created according to the system target peak-to-average ratio level to limit s(t), and filtering is performed in the delay-Doppler domain according to the filtering function, including: A limiting function is created according to the system target peak-to-average ratio level to limit s(t); The limiting function is expressed as A is a limiting threshold value, which is calculated according to the target peak-to-average ratio of the system, φ(t) is a signal phase, and s'(t) is a signal after limiting; Filtering is performed according to a filter function in the delay-Doppler domain; The filtering function is expressed as The d[m,n] is the limiting noise in the delay-Doppler domain, which is obtained by subtracting s'(t) from s(t) and transforming it to the delay-Doppler domain. is the area filled with data signals in the delay-Doppler domain, and the m p and n p is the pilot embedding position, the otherwise is the other area except for filling the data signal and the pilot signal, the d f [m,n] is the noise signal after limiting filtering.

4. The method according to claim 1, characterized in that: In step S103, the ideal peak clipping signal in the delay-Doppler domain is obtained according to the simulated noise coefficient. And reserve the grid position according to the method in step S101, Processing to obtain reference peak clipping signal include: The ideal peak clipping signal in the delay-Doppler domain is obtained based on the simulated noise coefficient The analog noise factor is calculated by the following formula: A represents a clipping threshold obtained from a target peak-to-average ratio, σ represents a standard deviation of a complex Gaussian process, k represents the number of simulation iterations, and α represents a calculation intermediate quantity; Will The data at the reserved grid positions are retained, and the data at the remaining positions are set to zero to obtain the reference peak clipping signal Expressed as Among them, the is a set of reserved grid positions, otherwise Complement in the delay-Doppler domain.

5. The method according to claim 1, characterized in that: In step S104, the least squares method is used to design and The loss function L is calculated, and the peak-cutting coefficient μ is solved to minimize L. opt , according to μ opt Calculate and update the time domain transmission signal after this method iteration include: Will and Substituting into the least squares method, we get the loss function; Among them, the loss function is The μ is the peak clipping coefficient, which is used to approximate the ideal peak clipping signal. t is the weighting factor, calculated by and The standard deviation of and The greater the difference, the greater the weight. To satisfy A collection of; The peak clipping factor μ opt and and Satisfies the following equation Among them, the w t Expressed as μ opt With reference clipping signal The peak clipping signal is multiplied and superimposed on s(t) to obtain a new time domain transmission signal. It is expressed as: Among them, the μ opt is the peak clipping coefficient that minimizes L, and s(t) is the initial time domain transmitted signal.

6. An OTFS peak-to-average ratio suppression device based on a preset peak clipping signal, used to execute the method described in any one of claims 1 to 5; characterized in that: The device comprises: A parameter acquisition module, used to acquire a clipping threshold based on a target peak-to-average ratio suppression level, acquire a simulated noise coefficient based on the number of simulated iterative clipping filters, and acquire coordinate parameters of a pilot embedding position and a preset maximum number of iterations; The analog noise factor is calculated by the following formula: A represents a clipping threshold obtained from a target peak-to-average ratio, σ represents a standard deviation of a complex Gaussian process, k represents the number of simulation iterations, and α represents a calculation intermediate quantity; Function creation module, used to create limiting function and filtering function by using the acquired parameters; ideal peak clipping signal in time domain obtained according to the simulated noise coefficient Create a loss function with the initial transmitted signal s(t); The signal processing module is used to input the original data of the delay-Doppler domain of the OTFS system into the limiting function and the filtering function for signal processing; obtain the peak clipping signal by using the loss function, and update the time domain transmission signal; The iterative processing module determines the subsequent signal processing operation according to the specific number of iterations.

7. The device according to claim 6, characterized in that The function creation module includes: Using the parameter acquisition module to obtain the clipping threshold, and create the clipping function and the filtering function; The limiting function is expressed as A is a limiting threshold value, which is calculated according to the target peak-to-average ratio of the system, φ(t) is a signal phase, and s'(t) is a signal after limiting; Among them, the filtering function is expressed as The d[m,n] is the limiting noise in the delay-Doppler domain, which is obtained by subtracting s'(t) from s(t) and transforming it to the delay-Doppler domain. is the area filled with data signals in the initial delay-Doppler domain, and the m p and n p is the position of the pilot signal filled in the initial delay-Doppler domain, the otherwise is the other area except the area filled with data signals and pilot signals, the d f [m,n] is the noise signal after limiting filtering; Using the ideal clipped signal in the time domain and the initial sent signal s(t), create a loss function; Among them, the loss function is The μ is the peak clipping coefficient, which is used to approximate the ideal peak clipping signal. t is the weighting factor, calculated by and The standard deviation of and The greater the difference, the greater the weight. To satisfy A collection of .

8. The device according to claim 6, characterized in that The method of obtaining a peak clipping signal by using a loss function and updating a time domain transmission signal comprises: Use the loss function to solve the peak shaving factor μ that minimizes L opt , obtain the peak clipping signal and update the time domain transmission signal; Wherein, the peak clipping coefficient μ opt and and Satisfies the following equation Among them, the w t Expressed as Finally, μ opt With reference clipping signal The peak clipping signal is multiplied and superimposed on s(t) to obtain a new time domain transmission signal. It is expressed as: Among them, the μ opt is the peak clipping coefficient that minimizes L, and s(t) is the initial time domain transmitted signal.

9. An electronic device, characterized in that: include: A processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; The memory is used to store computer programs; The processor is used to implement the steps of the OTFS peak-to-average ratio suppression method based on a preset peak clipping signal according to any one of claims 1 to 5 when executing the program stored in the memory.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the OTFS peak-to-average ratio suppression method based on a preset peak clipping signal according to any one of claims 1 to 5 are implemented.

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