Interference elimination method for full-duplex inductance integrated system based on simulated radio frequency division multiplexing waveform

Abstract

The invention discloses an interference elimination method for a full-duplex inductance integrated system based on simulated radio frequency division multiplexing waveforms. The method comprises the following steps: acquiring input data, and performing first serial-to-parallel conversion processing on the data to obtain a first parallel signal; modulating the first parallel signal to obtain a second parallel signal; performing first parallel-serial conversion processing on the second parallel signal to obtain a first serial signal; performing second serial-parallel processing on the first serial signal to obtain a third parallel signal; demodulating the third parallel signal to obtain a fourth parallel signal; performing channel estimation on the fourth parallel signal to obtain channel state information; according to the channel state information and a first parallel signal, reconstructing to obtain an interference signal; performing interference elimination on a fourth parallel signal according to the interference signal to obtain a fifth parallel signal; and performing second parallel-serial processing on the fifth parallel signal to obtain output data. According to the method, the terminal is small in self-interference and good in performance under the scene of full duplex and inductance integration.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless communications, and more particularly to a method for eliminating interference in a full-duplex interacuity integrated system based on an RF division multiplexing (RFDM) waveform. Background Art

[0002] The single base station model in the integrated telepathy technology generally refers to the base station sending perception signals and receiving perception echoes at the same time as downlink communication.

[0003] In a single-base station model with integrated communication, uplink and downlink communications and radar sensing occur simultaneously. Terminals (base stations or user terminals) typically operate in a simultaneous, co-frequency, full-duplex mode. This inevitably causes interference from the transmitter to the receiver. This interference signal is often referred to as self-interference. Furthermore, because the transmitter and receiver are typically close together, the strength of the self-interference signal can be significantly greater than the desired signal at the far end, severely impacting normal communication at the receiver.

[0004] The prior art discloses a channel estimation method, apparatus, device and medium assisted by a pilot signal without a guard interval. The method includes: performing a coarse channel estimation on a pseudo-RF division multiplexing receiving end signal without a guard interval, then detecting the receiving end signal to obtain a coarse estimate of the transmitted data symbol; calculating a first interference-eliminating received signal; performing a fine channel estimation on the first interference-eliminating received signal under a preset threshold to obtain a precise estimate of the channel parameters, and calculating a second interference-eliminating received signal; detecting the second interference-eliminating received signal to obtain a precise estimate of the transmitted data symbol; updating the coarsely estimated equivalent channel matrix and the coarse estimate of the transmitted data symbol, and repeating the iteration; when the preset number of iterations is reached, the precise estimate of the corresponding transmitted data symbol is used as the final estimate of the transmitting end signal. This method will still produce self-interference in the scenario of full-duplex interaception integration. Summary of the Invention

[0005] The present invention addresses the existing problem of base station self-interference in full-duplex integrated telemetry scenarios and provides a method for eliminating interference in a full-duplex integrated telemetry system based on a simulated radio frequency division multiplexing waveform. This method achieves low terminal self-interference and excellent performance in full-duplex integrated telemetry scenarios.

[0006] The primary purpose of the present invention is to solve the above technical problems, and the technical solutions of the present invention are as follows:

[0007] A method for eliminating interference in a full-duplex interaural integration system based on a radio frequency division multiplexing (RFDM) waveform, comprising:

[0008] S1: Acquire input data, perform a first serial-to-parallel conversion on the data, and obtain a first parallel signal;

[0009] S2: modulating the first parallel signal to obtain a second parallel signal;

[0010] S3: Performing a first parallel-to-serial conversion process on the second parallel signal to obtain a first serial signal;

[0011] S4: performing a second serial-to-parallel process on the first serial signal to obtain a third parallel signal;

[0012] S5: Demodulate the third parallel signal to obtain the fourth parallel signal;

[0013] S6: Perform channel estimation on the fourth parallel signal to obtain channel state information;

[0014] S7: reconstructing an interference signal according to the channel state information and the first parallel signal;

[0015] S8: performing interference cancellation on the fourth parallel signal according to the interference signal to obtain a fifth parallel signal;

[0016] S9: Perform a second parallel-serial processing on the fifth parallel signal to obtain output data.

[0017] Furthermore, the first serial signal includes: a first pilot data segment, a second pilot data segment, a first interval data segment, a second interval data segment, a third interval data segment, and a user data segment.

[0018] Furthermore, the lengths of the first interval data segment, the second interval data segment, and the third interval data segment are as follows:

[0019]

[0020] l max represents the maximum delay, α max Indicates the maximum Doppler index.

[0021] Furthermore, the interference signal is expressed as follows:

[0022]

[0023] H eff,sen represents the effective channel matrix in the discrete affine Fourier transform domain, X BS represents the discrete affine Fourier transform domain symbol of the first serial signal, and β represents the channel gain of the self-interference channel.

[0024] Furthermore, the formula of the fifth parallel signal is as follows:

[0025]

[0026] represents the interference signal, y BS Indicates the fourth parallel signal.

[0027] Furthermore, the effective channel matrix in the discrete affine Fourier transform domain includes:

[0028]

[0029] Both represent the parameters of the inverse discrete affine Fourier transform, F represents the discrete Fourier transform matrix, H sen Represents the time domain equivalent matrix of the perception channel.

[0030] Furthermore, the noise vector is formulated as follows:

[0031]

[0032] Both represent the parameters of the inverse discrete affine Fourier transform, F represents the discrete Fourier transform matrix, and w represents noise.

[0033] Furthermore, the parameters of the inverse discrete affine Fourier transform include:

[0034]

[0035] j represents the complex field, α max Indicates the maximum Doppler index, N represents The dimension of , n represents the sequence number.

[0036] Furthermore, the parameters of the inverse discrete affine Fourier transform include:

[0037]

[0038] c2 is a rational number or less than irrational number;

[0039] j represents the complex field, N2 represents The dimension of n2 is the sequence number.

[0040] A full-duplex interacuity integrated system interference cancellation system based on radio frequency division multiplexing waveform, comprising:

[0041] A first serial-to-parallel processing module: acquires input data, performs a first serial-to-parallel conversion on the data, and obtains a first parallel signal;

[0042] Modulation module: modulates the first parallel signal to obtain a second parallel signal;

[0043] A first parallel-to-serial processing module is configured to perform a first parallel-to-serial conversion on the second parallel signal to obtain a first serial signal;

[0044] A second serial-parallel processing module: performs a second serial-parallel processing on the first serial signal to obtain a third parallel signal;

[0045] Demodulation module: demodulates the third parallel signal to obtain the fourth parallel signal;

[0046] A channel estimation module: performing channel estimation on the fourth parallel signal to obtain channel state information;

[0047] Interference signal reconstruction module: reconstructs the interference signal according to the channel state information and the first parallel signal;

[0048] Interference elimination module: performing interference elimination on the fourth parallel signal according to the interference signal to obtain a fifth parallel signal;

[0049] The second parallel-serial processing module performs a second parallel-serial processing on the fifth parallel signal to obtain output data.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] The present invention establishes a full-duplex synaesthesia integrated system model; obtains input data, performs a first serial-to-parallel conversion on the data to obtain a first parallel signal; modulates the first parallel signal to obtain a second parallel signal; performs a first parallel-to-serial conversion on the second parallel signal to obtain a first serial signal; performs a second serial-to-parallel conversion on the first serial signal to obtain a third parallel signal; demodulates the third parallel signal to obtain a fourth parallel signal; performs channel estimation on the fourth parallel signal to obtain channel state information; reconstructs an interference signal based on the channel state information and the first parallel signal; performs interference cancellation on the fourth parallel signal based on the interference signal to obtain a fifth parallel signal; and performs a second parallel-to-serial conversion on the fifth parallel signal to obtain output data. This method has low terminal self-interference and good performance in a full-duplex synaesthesia integrated scenario. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a flowchart of a method for eliminating interference in a full-duplex interacuity integrated system based on a radio frequency division multiplexing (RFDM) waveform provided in Example 1.

[0053] Figure 2 A schematic diagram of the principle of an interference elimination method for a full-duplex interawareness integrated system based on an RFDM-like waveform provided in Example 1.

[0054] Figure 3 This is a structural diagram of the full-duplex synaesthesia integrated system model provided in Example 1.

[0055] Figure 4 This is a structural diagram of the frame provided in Example 1.

[0056] Figure 5 This is a comparison diagram of the pilot and channel provided in Example 1.

[0057] Figure 6 This is a line graph of the detection probability provided in Example 1.

[0058] Figure 7 A line graph of the normalized mean square error provided in Example 1.

[0059] Figure 8 This is a line graph of the bit error rate provided in Example 1. DETAILED DESCRIPTION

[0060] The accompanying drawings are for illustrative purposes only and are not to be construed as limiting this patent;

[0061] In order to better illustrate this embodiment, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product size;

[0062] It is understandable to those skilled in the art that some well-known structures and descriptions thereof may be omitted in the drawings.

[0063] The technical solution of the present invention is further described below with reference to the accompanying drawings and embodiments.

[0064] Example 1

[0065] like Figure 1 、 Figure 2 As shown, a method for eliminating interference in a full-duplex interacuity integrated system based on an RFDM waveform includes:

[0066] S1: Acquire input data, perform a first serial-to-parallel conversion on the data, and obtain a first parallel signal;

[0067] S2: modulating the first parallel signal to obtain a second parallel signal;

[0068] S3: Performing a first parallel-to-serial conversion process on the second parallel signal to obtain a first serial signal;

[0069] S4: performing a second serial-to-parallel process on the first serial signal to obtain a third parallel signal;

[0070] S5: Demodulate the third parallel signal to obtain the fourth parallel signal;

[0071] S6: Perform channel estimation on the fourth parallel signal to obtain channel state information;

[0072] S7: reconstructing an interference signal according to the channel state information and the first parallel signal;

[0073] S8: performing interference cancellation on the fourth parallel signal according to the interference signal to obtain a fifth parallel signal;

[0074] S9: Perform a second parallel-serial processing on the fifth parallel signal to obtain output data.

[0075] It should be noted that this method is based on the full-duplex synaesthesia integration model.

[0076] like Figure 3 As shown, the full-duplex synaesthesia integrated system model includes: a first terminal and a second terminal; two-way communication can be achieved between the first terminal and the second terminal.

[0077] Furthermore, the first serial signal includes: a first pilot data segment, a second pilot data segment, a first interval data segment, a second interval data segment, a third interval data segment, and a user data segment.

[0078] The RFDM symbols are converted from the discrete affine Fourier transform domain to the time domain through the inverse discrete affine Fourier transform (IDAFT), which is expressed as

[0079]

[0080] Where x∈A N×1 Represents the symbol vector in the discrete affine Fourier transform domain, and A is the constellation set. Similar to orthogonal frequency division multiplexing (OFDM), RFDM also requires a cyclic prefix, which is called a chirp cyclic prefix (CPP), and is expressed as The length L here needs to be greater than or equal to the maximum value of the channel delay spread.

[0081] For a double-dispersive channel, the impulse response with P stripe diameters is expressed as

[0082]

[0083] where h i is the channel gain, ν i is the Doppler frequency shift, l i is the delay spread. The Doppler shift is considered to be ν i =α i +a i , where α iis the integer part, a i is the decimal part. At the same time, the normalized delay index is l i =τ i NΔf, where τ i is the actual time delay. In the present invention, both the time delay and the Doppler index are integers. In a specific embodiment, α i ∈[-α max ,α max ] and l max <N, where α max and l max They are α i and l i The maximum value of .

[0084] The single-base station interawareness integrated system model based on RFDM is considered in the solution of the present invention. Figure 1 As shown, this includes a base station and a user end, both equipped with single antennas, operating in a scenario with some scatterers. By sending a single RF-based multiplexing signal, sensing and communication functions can be achieved. That is, the signal is sent to the communicating party for communication, and the echo of this signal is used for sensing. At the same time, the presence of self-interference signals is considered, which is an inevitable problem in full-duplex communication. Taking the base station as an example, its received signal is shown below:

[0085]

[0086] After removing CPP, the matrix form corresponding to formula (1.3) is

[0087] r BS =H com s UE +H sen s BS +βs BS +w,(1.4)

[0088] Among them, H com and H sen are the time domain equivalent matrix forms of the communication channel and the perception channel, β is the channel gain of the self-interference channel, and s BS and s UE are the simulated RF division multiplexing signals at the base station and user end respectively, and the noise vector is w~CN(0,N0I).

[0089] At the receiving end, after serial-to-parallel conversion and removal of the chirped cyclic prefix, the received signal is demodulated by discrete affine Fourier transform to obtain

[0090]

[0091] Furthermore, the input-output relationship between discrete affine Fourier transform domain symbols can be expressed as

[0092]

[0093] in It is a vector sequence that has undergone certain processing, which will be explained later.

[0094] Further analysis of the demodulation of the received signal reveals the complete input-output relationship in the discrete affine Fourier transform domain:

[0095]

[0096] H eff,com 、H eff,sen represents the effective channel matrix in the discrete affine Fourier transform domain, β represents the channel gain of the self-interference channel, represents the noise vector, X UE represents the discrete affine Fourier transform domain symbol sent by the second terminal to the first terminal, X BS Represents the discrete affine Fourier transform domain symbol sent by the first terminal to the second terminal.

[0097] in is the effective channel matrix in the discrete affine Fourier transform domain, H eff,sen have the same structure, Represents the inverse discrete affine Fourier transform.

[0098] In this way, the input-output relationship and the dual dispersion channel are unified into a single formula, where the effect of delay is reflected in the complex exponential, and delay and Doppler will jointly affect the positional relationship of the information symbols. We can get q=(m+loc i ) N .

[0099] The above expression only represents the base station scenario, but the same principle also applies to the user end. In addition, the method proposed in the present invention can achieve integrated communication perception on both the user end and the base station end, while effectively solving the signal integrity problem.

[0100] In the present invention, a pilot symbol with higher energy than the data symbol is placed in the discrete affine Fourier transform domain symbol, and guard intervals of length Q are placed on both sides of the pilot symbol to isolate the pilot and data symbols.

[0101] At the receiving end, the symbols of each pilot area in the discrete affine Fourier transform domain are subjected to threshold detection. When the amplitude exceeds the threshold Γ, the pilot at that position is detected. Then, based on the input-output relationship (1.6), the channel gain hi , Doppler frequency shift α i , and time delay l i By simulating the different time delays and Dopplers in the RFDM echo signal, the actual distance and speed relationship, that is, the target perception information, can be calculated.

[0102] like Figure 4 As shown, in the case of single-input-single-output (SISO) with one base station and one user, there are two pilot positions, one for inserting pilot symbols and the other for inserting zero symbols, as well as a data portion and three guard intervals of length Q. The length of Q is determined by the maximum value of the communication channel and the perception channel. In the proposed frame design, self-placed pilots are used to estimate the perception channel and SI channel, while the zeroed pilot symbols are used to receive information about the communication channel. These areas do not interfere with each other. With the channel state information (CSI) of the perception channel and SI channel, conditions are provided for reconstructing the interference signal.

[0103] The results of pilot estimation are as follows:

[0104]

[0105] At the base station, the two regions of the received signal are estimated and the mapping relationship is obtained, such as Figure 5 shown.

[0106] Furthermore, the lengths of the first interval data segment, the second interval data segment, and the third interval data segment are as follows:

[0107]

[0108] l max represents the maximum delay, α max Indicates the maximum Doppler index.

[0109] It should be noted that after setting the interval data segment, no matter how the data and pilot symbols move, they will not interfere with each other, thereby ensuring the integrity of the pilot and data parts.

[0110] Furthermore, the interference signal is expressed as follows:

[0111]

[0112] H eff,sen represents the effective channel matrix in the discrete affine Fourier transform domain, X BSrepresents the discrete affine Fourier transform domain symbol of the first serial signal, and β represents the channel gain of the self-interference channel.

[0113] Furthermore, the formula of the fifth parallel signal is as follows:

[0114]

[0115] represents the interference signal, y BS Indicates the fourth parallel signal.

[0116] This formula can be derived from the following formula:

[0117]

[0118] y com =H eff,com x UE

[0119] The interference signal in the discrete affine Fourier transform domain is as follows:

[0120]

[0121] P+1 represents P sensing paths and 1 self-interference path.

[0122] Furthermore, the effective channel matrix in the discrete affine Fourier transform domain includes:

[0123]

[0124] Both represent the parameters of the inverse discrete affine Fourier transform, F represents the discrete Fourier transform matrix, H sen Represents the time domain equivalent matrix of the perception channel.

[0125] Furthermore, the noise vector is formulated as follows:

[0126]

[0127] Both represent the parameters of the inverse discrete affine Fourier transform, F represents the discrete Fourier transform matrix, and w represents noise.

[0128] Furthermore, the parameters of the inverse discrete affine Fourier transform include:

[0129]

[0130]

[0131] j represents the complex field, α max Indicates the maximum Doppler index, N represents The dimension of , n represents the sequence number.

[0132] Furthermore, the parameters of the inverse discrete affine Fourier transform include:

[0133]

[0134] c2 is a rational number or less than irrational number;

[0135] j represents the complex field, N2 represents The dimension of n2 is the sequence number.

[0136] A full-duplex interacuity integrated system interference cancellation system based on simulated radio frequency division multiplexing waveform, comprising:

[0137] A first serial-to-parallel processing module: acquires input data, performs a first serial-to-parallel conversion on the data, and obtains a first parallel signal;

[0138] Modulation module: modulates the first parallel signal to obtain a second parallel signal;

[0139] A first parallel-to-serial processing module is configured to perform a first parallel-to-serial conversion on the second parallel signal to obtain a first serial signal;

[0140] A second serial-parallel processing module: performs a second serial-parallel processing on the first serial signal to obtain a third parallel signal;

[0141] Demodulation module: demodulates the third parallel signal to obtain the fourth parallel signal;

[0142] A channel estimation module: performing channel estimation on the fourth parallel signal to obtain channel state information;

[0143] Interference signal reconstruction module: reconstructs the interference signal according to the channel state information and the first parallel signal;

[0144] Interference elimination module: performing interference elimination on the fourth parallel signal according to the interference signal to obtain a fifth parallel signal;

[0145] The second parallel-serial processing module performs a second parallel-serial processing on the fifth parallel signal to obtain output data.

[0146] A full-duplex interacuity integrated system interference transmission link based on an imitation radio frequency division multiplexing waveform, comprising: a first serial-to-parallel conversion module, an inverse fast Fourier transform module, a chirp period prefix adding module, and a first parallel-to-serial conversion module;

[0147] The transmission data is input into the input end of the first serial-to-parallel conversion module, the output end of the first serial-to-parallel conversion module is connected to the input end of the inverse fast Fourier transform module, the output end of the inverse fast Fourier transform module is connected to the input end of the chirp period prefix adding module, the output end of the chirp period prefix adding module is connected to the input end of the first parallel-to-serial conversion module, and the output end of the first parallel-to-serial conversion module outputs the transmission signal.

[0148] An interference receiving link of a full-duplex interoception integrated system based on an RFDM waveform includes: a second serial-to-parallel conversion module, a chirp period prefix removal module, a fast Fourier transform module, a channel estimation module, an interference signal reconstruction module, an addition point, and a second parallel-to-serial module;

[0149] The received signal is input into the input end of the second serial-to-parallel conversion module, the output end of the serial-to-parallel conversion module is connected to the input end of the chirp period prefix removal module, the output end of the chirp period prefix removal module is connected to the input end of the fast Fourier transform module, the output end of the fast Fourier transform module is connected to the input end of the channel estimation module, the output end of the channel estimation module is connected to the input end of the reconstructed interference signal module, the output end of the reconstructed interference signal module and the output end of the fast Fourier transform module are respectively connected to the input end of the addition point, the output end of the addition point is connected to the input end of the second parallel-to-serial module, and the output end of the second parallel-to-serial module outputs the received data.

[0150] A full-duplex interacuity integrated system jamming transceiver based on an imitation radio frequency division multiplexing waveform comprises a transmitting link and a receiving link.

[0151] On the transmitting link, a designed symbol sequence is input, where each symbol is the result of constellation mapping. After the input symbol, it can be sent out after basic pseudo-RFDM modulation. On the receiving link, the received pseudo-RFDM signal is demodulated by basic pseudo-RFDM, and transformed from the time domain to the discrete affine Fourier transform domain. In the discrete affine Fourier transform domain, (1.8) is used to estimate the pilot channel of the two segments. In the self-placed pilot pattern, the channel state information of the self-interference channel and the perception channel can be extracted; and in the other pilot pattern, the communication channel information can be obtained. The delay Doppler information of the i-th path also corresponds to the distance R of the i-th target. i and speed information v i , we can get

[0152]

[0153] Where c is the speed of light, is the subcarrier spacing, and T is the symbol duration.

[0154] The present invention simulates and evaluates the above scheme. The simulation evaluation uses the bit error rate (BER) as the communication performance indicator and the detection probability as the perception performance indicator. Regarding the channel configuration, the channel gain of the communication and perception channels follows the distribution where P is the number of channels, and the channel gain of the SI channel follows the distribution The delay and Doppler in the communication channel and the perception channel can independently take any integer value within their respective maximum limits. max =6 and α max =4. Since there are different signals, it is necessary to consider the signal-to-noise ratio (SNR) of each signal separately. The pilot signal-to-noise ratio of the communication signal is expressed as SNR p,com =|x p | 2 / N0, the signal-to-noise ratio of the data portion of the communication signal is expressed as SNR d,com =E(|x d | 2 ) / N0. SNR p,sen Indicates the pilot signal-to-noise ratio and SNR of the echo signal d,sen This represents the signal-to-noise ratio of the data portion of the echo signal. After 50,000 Monte Carlo simulations, the results are as follows:

[0155] like Figure 6 As shown in the figure, the detection probability varies with the pilot signal-to-noise ratio (SNR) of the echo signal. p,sen and threshold Γ, where the detection probability varies with the pilot signal-to-noise ratio SNR of the echo signal p,sen Under the assumption of integer delay and integer Doppler, noise is the main factor affecting the detection probability. Noise can cause the pilot amplitude to be lower than the threshold Γ, resulting in misjudgment. When the pilot signal-to-noise ratio (SNR) of the communication signal is p,sen When the threshold is high enough, the effect of noise can be ignored, thus achieving target detection. A lower threshold means a higher detection probability, but also an increased false alarm probability.

[0156] like Figure 7 As shown, the normalized mean squared error (NMSE) is defined as Where y = H eff,sen x BS +βx BS represents the actual interference signal, Represents the reconstructed interference signal. As the signal-to-noise ratio increases, the reconstructed signal becomes closer and closer to the interference signal, and the interference cancellation performance improves. Figure 6 and Figure 7 , threshold is the best choice.

[0157] like Figure 8 As shown in the test results, the horizontal axis represents the signal-to-noise ratio (SNR) of the data portion of the communication signal. d,com , in dB, where the pilot signal-to-noise ratio (SNR) of the communication signal is p,com is fixed at 40dB, while the vertical axis represents the bit error rate. The bit error rate performance of the system is affected by two factors: the effectiveness of interference cancellation and the accuracy of communication channel estimation. Therefore, under ideal interference cancellation and ideal channel estimation, its performance is shown as a curve with ideal interference cancellation and ideal CSI. In order to demonstrate the effectiveness of interference cancellation, the performance obtained using the estimated channel is shown as a curve with ideal interference cancellation and estimated CSI. As can be seen from the figure, the curve of the proposed interference cancellation shows the performance of the received signal after interference cancellation, which indicates that the actual performance of the present invention is excellent. The performance of the original received signal is reflected from the curve without interference cancellation, which has a bit error rate of nearly 50% and is not affected by the signal-to-noise ratio and the signal-to-noise ratio SNR of the data part of the communication signal. d,com This demonstrates an error state where communication is impossible because the data portion of the received signal is always affected by interference. Compared to the case without interference cancellation, the proposed interference cancellation significantly reduces the bit error rate, approaching the ideal bound, demonstrating the effectiveness of the proposed interference cancellation method.

[0158] The same or similar reference numerals correspond to the same or similar components;

[0159] The terms used in the drawings to describe positional relationships are for illustrative purposes only and should not be construed as limiting this patent;

[0160] Obviously, the above embodiments of the present invention are merely examples for the purpose of clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Those skilled in the art will appreciate that other variations or modifications can be made based on the above description. It is not necessary and impossible to enumerate all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the claims of the present invention.

Claims

1. A method for eliminating interference in a full-duplex interaural communication system based on a radio frequency division multiplexing waveform, characterized in that: include: S1: Acquire input data, perform a first serial-to-parallel conversion on the data, and obtain a first parallel signal; S2: modulating the first parallel signal to obtain a second parallel signal; S3: Performing a first parallel-to-serial conversion process on the second parallel signal to obtain a first serial signal; S4: performing a second serial-to-parallel process on the first serial signal to obtain a third parallel signal; S5: Demodulate the third parallel signal to obtain the fourth parallel signal; S6: Perform channel estimation on the fourth parallel signal to obtain channel state information; S7: reconstructing an interference signal according to the channel state information and the first parallel signal; S8: performing interference cancellation on the fourth parallel signal according to the interference signal to obtain a fifth parallel signal; S9: Perform a second parallel-serial processing on the fifth parallel signal to obtain output data.

2. The method for eliminating interference in a full-duplex synaesthesia integrated system based on a radio frequency division multiplexing waveform according to claim 1, characterized in that: The first serial signal includes: a first pilot data segment, a second pilot data segment, a first interval data segment, a second interval data segment, a third interval data segment, and a user data segment.

3. The method for eliminating interference in a full-duplex synaesthesia integrated system based on a radio frequency division multiplexing waveform according to claim 2, wherein: The lengths of the first interval data segment, the second interval data segment, and the third interval data segment are as follows: l max represents the maximum delay, α max Indicates the maximum Doppler index.

4. The method for eliminating interference in a full-duplex synaesthesia integrated system based on a radio frequency division multiplexing waveform according to claim 1, characterized in that: The expression of the interference signal is as follows: H eff,sen represents the effective channel matrix in the discrete affine Fourier transform domain, X BS represents the discrete affine Fourier transform domain symbol of the first serial signal, and β represents the channel gain of the self-interference channel.

5. The method for eliminating interference in a full-duplex synaesthesia integrated system based on a radio frequency division multiplexing waveform according to claim 4, characterized in that: The formula for the fifth parallel signal is as follows: represents the interference signal, y BS Indicates the fourth parallel signal.

6. The method for eliminating interference in a full-duplex synaesthesia integrated system based on a radio frequency division multiplexing waveform according to claim 4, characterized in that: The effective channel matrix in the discrete affine Fourier transform domain includes: Both represent the parameters of the inverse discrete affine Fourier transform, F represents the discrete Fourier transform matrix, H sen Represents the time domain equivalent matrix of the perception channel.

7. The method for eliminating interference in a full-duplex synaesthesia integrated system based on a radio frequency division multiplexing waveform according to claim 5, characterized in that: The formula for the noise vector is as follows: Both represent the parameters of the inverse discrete affine Fourier transform, F represents the discrete Fourier transform matrix, and w represents noise.

8. The method for eliminating interference in a full-duplex synaesthesia integrated system based on a radio frequency division multiplexing waveform according to claim 6 or 7, characterized in that: The parameters of the inverse discrete affine Fourier transform are: j represents the complex field, α max Indicates the maximum Doppler index, N represents The dimension of , n represents the sequence number.

9. The method for eliminating interference in a full-duplex synaesthesia integrated system based on a radio frequency division multiplexing waveform according to claim 6 or 7, characterized in that: The parameters of the inverse discrete affine Fourier transform are: c2 is a rational number or less than irrational number; j represents the complex field, N2 represents The dimension of n2 is the sequence number.

10. A full-duplex interacuity integrated system interference elimination system based on simulated radio frequency division multiplexing waveform, applied to the elimination method according to any one of claims 1 to 9, characterized in that: include: A first serial-to-parallel processing module: acquires input data, performs a first serial-to-parallel conversion on the data, and obtains a first parallel signal; Modulation module: modulates the first parallel signal to obtain a second parallel signal; A first parallel-to-serial processing module is configured to perform a first parallel-to-serial conversion on the second parallel signal to obtain a first serial signal; A second serial-parallel processing module: performs a second serial-parallel processing on the first serial signal to obtain a third parallel signal; Demodulation module: demodulates the third parallel signal to obtain the fourth parallel signal; A channel estimation module: performing channel estimation on the fourth parallel signal to obtain channel state information; Interference signal reconstruction module: reconstructs the interference signal according to the channel state information and the first parallel signal; Interference elimination module: performing interference elimination on the fourth parallel signal according to the interference signal to obtain a fifth parallel signal; The second parallel-serial processing module performs a second parallel-serial processing on the fifth parallel signal to obtain output data.

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