Generation, sensing and communication processing method and communication system for integrated waveform generation, sensing and communication

By DC biasing and encoding the communication sub-signal, a single-carrier synesthesized integrated waveform is formed, and frequency division multiplexing combined frequency conversion is generated to generate a multi-sub-carrier synesthesized integrated waveform, which solves the communication rate and frequency spectrum in the prior art The problem of low efficiency achieves the sharing of high communication rate and high perception accuracy.

CN119299063AActive Publication Date: 2025-01-10PURPLE MOUNTAIN LAB

Patent Information

Application Number
CN202411371543.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-29
Publication Date
2025-01-10
Estimated Expiration
2044-09-29

AI Technical Summary

Technical Problem

The existing integrated waveforms have shortcomings in communication rate and spectrum efficiency, especially the problem of low communication rate when amplitude modulation is performed on linear frequency modulation signals and low spectrum efficiency when angle modulation is performed.

Method used

By performing DC bias processing on the communication sub-signal, the perceived sub-carrier is encoded to form a single-carrier synesthetic waveform, and frequency conversion is combined through frequency division multiplexing, so that the spectrum of adjacent single-carrier synesthetic waveforms overlaps, generating multiple The integrated waveform of subcarrier synesthesized waveforms share time and frequency resources to achieve high communication speed and high perception accuracy.

Benefits of technology

It realizes high communication rate and high perception accuracy, while saving frequency domain resources, improving spectrum efficiency, and solving the problems of low communication rate and low spectrum efficiency in the prior art.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a communication and inductance integrated waveform generation, sensing and communication processing method and a communication system, and belongs to the technical field of radar detection. At least one communication sub-signal and at least one sensing sub-carrier are acquired; performing direct-current bias processing on each communication sub-signal, and coding each sensing sub-carrier based on the biased communication sub-signal to obtain a single-carrier flux-sensing integrated waveform; and performing frequency conversion processing on each single-carrier flux-inductance integrated waveform, and based on the single-carrier flux-inductance integrated waveforms subjected to frequency division multiplexing combination frequency conversion, overlapping the frequency spectrums of the adjacent single-carrier flux-inductance integrated waveforms to obtain a multi-subcarrier flux-inductance integrated waveform. Direct-current bias processing is carried out on communication sub-signals, unique phases of sensing sub-signals can be reserved, communication and sensing can share the same time-frequency resource and software and hardware equipment conveniently, high communication rate and high sensing precision are achieved, frequency domain resources can be effectively saved through frequency conversion processing and frequency spectrum overlapping of multiple sets of single-carrier-wave-flux-sensing integrated waveforms, and the communication efficiency is improved. And spectrum efficiency is improved.
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Description

Technical Field

[0001] The present invention relates to the field of radar detection technology, and in particular to a synaesthesia integrated waveform generation, perception, communication processing method and a communication system. Background Art

[0002] Today, the booming development of mobile applications such as short videos and online conferences has put forward an urgent demand for ultra-high-speed communication transmission. Mobile communications are developing towards the millimeter wave and terahertz bands that support ultra-large capacity. On the other hand, millimeter waves can provide ultra-high detection accuracy due to their large bandwidth and narrow beam, and have been widely used in civilian radars. The overlap of wireless communication bands and radar bands, as well as the urgent demand for high-precision sensing and high-speed wireless communications in emerging smart businesses such as smart driving, unmanned factories, and smart homes, provide strong impetus and opportunities for the integration of radar detection and wireless communications.

[0003] In order to integrate communication and radar functions into a shared system, it is necessary to first design a joint waveform that takes into account the performance of both. Currently, the waveforms of joint communication and radar functions can be divided into two categories, namely multiplexed and integrated waveforms. The integrated waveform realizes both communication and perception functions by designing a new waveform. The two can share the same system resources such as time and frequency, with a higher degree of integration, and can usually take into account the performance of communication and perception. Linear Frequency Modulation (LFM) signals are widely used in radar perception systems due to their advantages such as high range resolution, Doppler insensitivity, and simple generation.

[0004] However, the integrated waveform for amplitude modulation of the LFM signal has a low communication rate; while the integrated waveform for angle modulation of the LFM signal has the problem of low spectrum efficiency caused by spectrum broadening. It is necessary to provide a solution that can produce high communication rate and high spectrum efficiency. Summary of the invention

[0005] The present invention provides a synaesthesia integrated waveform generation, perception, communication processing method and communication system, which are used to solve the defects of low communication rate or low spectrum efficiency of existing integrated waveforms.

[0006] The present invention provides a synaesthesia integrated waveform generation method, comprising: Acquire at least one communication sub-signal and at least one sensing sub-carrier; Performing DC bias processing on each of the communication sub-signals, encoding each of the perception sub-carriers based on the biased communication sub-signals, and obtaining a single-carrier synaesthesia integrated waveform; The single-carrier synaesthesia integrated waveforms are frequency-converted, the frequency-converted single-carrier synaesthesia integrated waveforms are combined based on frequency division multiplexing, and the frequency spectra of adjacent single-carrier synaesthesia integrated waveforms are overlapped to obtain a multi-subcarrier synaesthesia integrated waveform.

[0007] According to a synaesthesia integrated waveform generation method provided by the present invention, the perception subcarrier includes a linear frequency modulation signal, and the DC bias processing of each of the communication sub-signals includes: A DC bias process is performed on each of the communication sub-signals to retain the chirp phase of the linear frequency modulation signal.

[0008] According to a method for generating a synaesthesia integrated waveform provided by the present invention, each of the perception subcarriers is consistent, the bandwidth of each of the communication sub-signals is less than or equal to the bandwidth of each of the perception subcarriers, and the frequency conversion processing of each of the single-carrier synaesthesia integrated waveforms includes: Performing frequency conversion processing on each of the single-carrier synaesthesia integrated waveforms based on a predetermined center frequency of each of the single-carrier synaesthesia integrated waveforms; The center frequencies of the single-carrier synaesthesia integrated waveforms are different, and the difference between the center frequencies of adjacent single-carrier synaesthesia integrated waveforms is determined according to the bandwidth of the communication sub-signal and the bandwidth of the perception sub-carrier.

[0009] According to a synaesthesia integrated waveform generation method provided by the present invention, the difference between the center frequencies of adjacent single-carrier synaesthesia integrated waveforms is equal to the bandwidth of the perception subcarrier.

[0010] The present invention also provides a synaesthesia integrated waveform perception processing method, comprising: Acquire a terahertz signal to be processed, wherein the terahertz signal is determined by the multi-subcarrier synaesthesia integrated waveform in any one of the synaesthesia integrated waveform generation methods; According to the terahertz signal, at least one baseband multi-carrier integrated waveform is obtained; Matched filtering is performed on the baseband multi-carrier integrated waveform to obtain target perception information.

[0011] According to a synaesthesia integrated waveform perception processing method provided by the present invention, obtaining at least one baseband multi-carrier integrated waveform according to the terahertz signal includes: The terahertz signal is subjected to terahertz down-conversion, analog-to-digital conversion and digital down-conversion processing to obtain at least one baseband multi-carrier integrated waveform.

[0012] According to a synaesthesia integrated waveform perception processing method provided by the present invention, matching filtering is performed on the baseband multi-carrier integrated waveform to obtain target perception information, including: Reconstructing a multi-carrier linear frequency modulation signal based on a pre-backed-up linear frequency modulation signal to obtain a reconstructed linear frequency modulation signal; The baseband multi-carrier integrated waveform is subjected to matched filtering based on the reconstructed linear frequency modulation signal to obtain target perception information.

[0013] The present invention also provides a synaesthesia integrated waveform communication processing method, comprising: Acquire a terahertz signal to be processed, wherein the terahertz signal is determined by the multi-subcarrier synaesthesia integrated waveform in any one of the synaesthesia integrated waveform generation methods; According to the terahertz signal, at least one baseband multi-carrier integrated waveform is obtained; Performing matched filtering on the baseband multi-carrier integrated waveform, and achieving carrier time synchronization of each of the baseband multi-carrier integrated waveforms based on the matched filtering result; The synchronized baseband multi-carrier integrated waveform is de-skewed, offset removed and demodulated to obtain a target communication signal.

[0014] According to a synaesthesia integrated waveform communication processing method provided by the present invention, matching filtering is performed on the baseband multi-carrier integrated waveform, and carrier time synchronization of each baseband multi-carrier integrated waveform is achieved based on the matching filtering result, including: Reconstructing a multi-carrier linear frequency modulation signal based on a pre-backed-up linear frequency modulation signal to obtain a reconstructed linear frequency modulation signal; Performing matched filtering on the baseband multi-carrier integrated waveform based on the reconstructed linear frequency modulation signal to obtain a matched filtering result; According to the matched filtering result, carrier time synchronization is performed on each of the baseband multi-carrier integrated waveforms.

[0015] The present invention also provides a synaesthesia integrated waveform communication system, comprising a waveform generation module, a signal transmission module, a perception processing module and a communication processing module; The waveform generation module is used to obtain at least one communication sub-signal and at least one perception sub-carrier; perform DC bias processing on each of the communication sub-signals, encode each of the perception sub-carriers based on the biased communication sub-signals, and obtain a single-carrier synaesthesia integrated waveform; perform frequency conversion processing on each of the single-carrier synaesthesia integrated waveforms, combine the frequency-converted single-carrier synaesthesia integrated waveforms based on frequency division multiplexing, and overlap the frequency spectra of adjacent single-carrier synaesthesia integrated waveforms to obtain a multi-subcarrier synaesthesia integrated waveform; The signal transmission module is used to obtain a terahertz signal according to the multi-subcarrier synaesthesia integrated waveform; The perception processing module is used to obtain a terahertz signal to be processed; obtain at least one baseband multi-carrier integrated waveform according to the terahertz signal; and perform matched filtering on the baseband multi-carrier integrated waveform to obtain target perception information; The communication processing module is used to obtain a terahertz signal to be processed; obtain at least one baseband multi-carrier integrated waveform according to the terahertz signal; perform matched filtering on the baseband multi-carrier integrated waveform, and realize carrier time synchronization of each baseband multi-carrier integrated waveform based on the matched filtering result; perform de-skewing, offset removal and demodulation processing on the synchronized baseband multi-carrier integrated waveform to obtain a target communication signal.

[0016] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, it implements any one of the above-mentioned synaesthesia integrated waveform generation methods, any one of the above-mentioned synaesthesia integrated waveform perception processing methods, or any one of the above-mentioned synaesthesia integrated waveform communication processing methods.

[0017] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it implements any of the above-mentioned synaesthesia integrated waveform generation methods or any of the above-mentioned synaesthesia integrated waveform perception processing methods or any of the above-mentioned synaesthesia integrated waveform communication processing methods.

[0018] The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-mentioned synaesthesia integrated waveform generation methods or any of the above-mentioned synaesthesia integrated waveform perception processing methods or any of the above-mentioned synaesthesia integrated waveform communication processing methods.

[0019] The synaesthesia integrated waveform generation, perception, and communication processing method and communication system provided by the present invention can retain the unique phase of the perception sub-signal during the encoding process by performing DC bias processing on the communication sub-signal, so that the two functions of communication and perception can share the same time-frequency resources and software and hardware equipment, thereby achieving high communication rate and high perception accuracy. On this basis, by performing frequency conversion processing on each of the single-carrier synaesthesia integrated waveforms, the single-carrier synaesthesia integrated waveforms after frequency conversion are combined based on frequency division multiplexing, and the frequency spectra of adjacent single-carrier synaesthesia integrated waveforms are partially overlapped, thereby saving frequency domain resources and improving spectrum efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 It is a flow chart of the synaesthesia integrated waveform generation method provided by the present invention.

[0022] Figure 2a is a spectrum diagram of a perceptual subcarrier provided by the present invention, Figure 2b is a spectrum diagram of the communication sub-signal provided by the present invention, Figure 2c It is a spectrum diagram of the single-carrier synaesthesia integrated waveform provided by the present invention.

[0023] Figure 3a is the spectrum diagram of the existing frequency division multiplexing combined waveform, Figure 3b is a spectrum diagram of the combined waveform mode provided by the present invention, Figure 3c It is a spectrum diagram of the multi-subcarrier synaesthesia integrated waveform provided by the present invention.

[0024] Figure 4 It is a time-frequency diagram of a multi-carrier synaesthesia integrated waveform based on three single-carrier synaesthesia integrated waveforms provided by the present invention.

[0025] Figure 5 It is a flow chart of the synaesthesia integrated waveform perception processing method provided by the present invention.

[0026] Figure 6a It is the result of single carrier sensing function. Figure 6b It is a comparison chart of the single-carrier sensing function results and the multi-carrier sensing function results.

[0027] Figure 7 It is a flow chart of the synaesthesia integrated waveform communication processing method provided by the present invention.

[0028] Figure 8a is a signal spectrum diagram after de-skewing provided by the present invention, Figure 8b-Figure 8d They are schematic diagrams of communication demodulation results corresponding to the first to third perception subcarriers provided by the present invention.

[0029] Fig. 9 It is a structural schematic diagram of the synaesthesia integrated waveform communication system provided by the present invention.

[0030] Fig.10 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Figure 1 is a flow chart of the synaesthesia integrated waveform generation method provided by the present invention, such as Figure 1 As shown, the present invention provides a method for generating a synaesthesia integrated waveform. The synaesthesia integrated waveform refers to an integrated waveform that has both communication function and perception function. The method specifically includes the following steps.

[0033] Step S110, obtaining at least one communication sub-signal and at least one perception sub-carrier. The number of communication sub-signals and perception sub-carriers is the same, one-to-one corresponding, the frequencies of the communication sub-signals and perception sub-carriers are both baseband, and the frequency range starts from 0 Hz and usually reaches several kilohertz (kHz). In the embodiment of the present invention, the communication sub-signal is represented as s QAMn (t) , the sensing subcarrier is expressed as s LFMn (t) In other embodiments, other representation forms may also be used, and the present invention is not limited to this.

[0034] Step S120, DC bias processing is performed on each of the communication sub-signals, and each of the perception sub-carriers is encoded based on the biased communication sub-signals to obtain a single-carrier synaesthesia integrated waveform. The communication sub-signals are DC biased, and the unique phase of the perception sub-signals can be retained in the process of encoding each of the perception sub-carriers based on the biased communication sub-signals, forming a baseband single-carrier synaesthesia integrated waveform, which can be expressed as s (QAM-LFM-BB)n (t) .

[0035] Step S130, frequency conversion processing is performed on each of the single-carrier synaesthesia integrated waveforms, and a multi-subcarrier synaesthesia integrated waveform is obtained based on the single-carrier synaesthesia integrated waveform after frequency division multiplexing combination frequency conversion. Frequency conversion processing is performed on each of the single-carrier synaesthesia integrated waveforms, and each single-carrier synaesthesia integrated waveform is moved to its corresponding intermediate frequency ( f n ), forming multiple intermediate frequency single-carrier synaesthesia integrated waveforms with different center frequencies, expressed as s (QAM-LFM-IF)n (t)Based on frequency division multiplexing, each intermediate frequency single-carrier synaesthesia integrated waveform is synthesized into a multi-subcarrier synaesthesia integrated waveform, which is expressed as s FDM-QAM-LFM (t) .

[0036] Optionally, parameters such as the power of each sensing subcarrier, the modulation format of the communication signal, and the modulation bandwidth can be flexibly adjusted according to actual needs and the transmission environment. Through multi-subcarrier modulation, the multi-subcarrier synaesthesia integrated waveform generated has the advantages of resisting the uneven response problem of ultra-wideband terahertz channels and supporting multi-user access.

[0037] It can be understood that the present invention can retain the unique phase of the perception sub-signal during the encoding process by performing DC bias processing on the communication sub-signal, so that the two functions of communication and perception can share the same time-frequency resources and software and hardware equipment, thereby achieving high communication rate and high perception accuracy. On this basis, by performing frequency conversion processing on each of the single-carrier synaesthesia integrated waveforms, the single-carrier synaesthesia integrated waveform after frequency conversion is combined based on frequency division multiplexing, and the spectrum between adjacent single-carrier synaesthesia integrated waveforms is partially overlapped, thereby saving frequency domain resources and improving spectrum efficiency.

[0038] Figure 2a is a spectrum diagram of a perceptual subcarrier provided by the present invention, Figure 2b is a spectrum diagram of the communication sub-signal provided by the present invention, Figure 2c It is a spectrum diagram of the single-carrier synaesthesia integrated waveform provided by the present invention, such as Figure 2a-2c As shown, based on the above embodiment, as an optional embodiment, the perception subcarrier includes a linear frequency modulation signal, and the DC bias processing of each of the communication sub-signals includes: A DC bias process is performed on each of the communication sub-signals to retain the chirp phase of the linear frequency modulation signal.

[0039] Optionally, performing DC bias processing on each of the communication sub-signals specifically includes converting each baseband communication sub-signal ( s QAMn (t) ) and their respective DC components ( K n ) are added to complete the DC bias and form a DC biased baseband communication sub-signal, where the DC component ( K n ) is used to reserve baseband sensing subcarriers ( s LFMn (t) ) original chirp phase; correspondingly, encoding each of the perception subcarriers based on the biased communication sub-signal to obtain a single-carrier synaesthesia integrated waveform specifically includes multiplying the DC biased baseband communication sub-signal ( sQAMn (t) ) for baseband sensing subcarriers ( s LFMn (t) ) is encoded to generate a baseband single-carrier synaesthesia integrated waveform ( s (QAM-LFM-BB)n (t) ).

[0040] like Figure 2a As shown, let the sensing subcarrier ( s LFMn (t) ) has a bandwidth of B LFMn ,like Figure 2b As shown, the communicator signal ( s QAMn (t) ) has a bandwidth of B QAMn ,like Figure 2c As shown, the encoded baseband single-carrier synaesthesia integrated waveform ( s (QAM-LFM-BB)n (t) ) will be expanded to B QAMn +B LFMn .

[0041] It can be understood that the present invention designs a synaesthesia integrated waveform based on a linear frequency modulation signal as a single carrier, fully utilizes resources such as time and frequency domains, and utilizes the multi-carrier synthesis processing technology of the linear frequency modulation signal, so that the multi-subcarrier synaesthesia integrated waveform has the advantages of large time-width-bandwidth product, high-speed communication, and high-precision perception. At the same time, through DC bias, the unique chirp phase of the original linear frequency modulation signal can be retained, and the radar echo signal can be pulse compressed at the perception receiving end through simple matched filtering processing, suppressing the interference of the communication signal on the radar function, and realizing the perception function.

[0042] Based on the above embodiment, as an optional embodiment, the waveform and bandwidth of each perception subcarrier are kept consistent, the bandwidth of each communication sub-signal is less than or equal to the bandwidth of each perception subcarrier, and the frequency conversion processing of each single-carrier interawareness integrated waveform includes: Performing frequency conversion processing on each of the single-carrier synaesthesia integrated waveforms based on a predetermined center frequency of each of the single-carrier synaesthesia integrated waveforms; Among them, the center frequencies of the single-carrier synaesthesia integrated waveforms are different, and the difference in center frequencies of adjacent single-carrier synaesthesia integrated waveforms is determined according to the bandwidth of the communication sub-signal and the bandwidth of the perception sub-carrier to ensure that the sub-carrier spectra of adjacent single-carrier synaesthesia integrated waveforms overlap.

[0043] The single-carrier synaesthesia integrated waveform is subjected to frequency conversion processing, that is, the baseband single-carrier synaesthesia integrated waveform ( s (QAM-LFM-BB)n (t) ) to the corresponding intermediate frequency ( f n )so that N IF single-carrier synaesthesia integrated waveform with different center frequencies ( s (QAM-LFM-IF)n (t) ) is combined by frequency division multiplexing (FDM) to generate a multi-subcarrier synaesthesia integrated waveform ( s FDM-QAM-LFM (t) ). Here, N is an integer ≥ 2, n =1, 2, …, N .

[0044] The generated multi-subcarrier synaesthesia integrated waveform ( s FDM-QAM-LFM (t) ) The formula is as follows: (1)

[0045] in, s FDM-QAM-LFM (t) It is a multi-subcarrier synaesthesia integrated waveform. s (QAM-LFM-IF)n (t) For the n An intermediate frequency single carrier synaesthesia integrated waveform, s (QAM-LFM-BB)n (t) For the n A baseband single-carrier interoceptive integrated waveform, j is plural, s QAMn (t) For the n Communication sub-signals, K n For the n The DC component of the communication sub-signal, s LFMn (t) For the n sensing subcarriers, t For time.

[0046] It can be seen from the encoding process and formula 1 that the baseband single-carrier synaesthesia integrated waveform ( s (QAM-LFM-BB)n (t) ) consists of two parts, the former is used for communication function and the latter is used for perception function.

[0047] In the multi-subcarrier synaesthesia integrated waveform proposed in the present invention ( s FDM-QAM-LFM (t) ) must be consistent, and the bandwidth of each communication sub-signal must be less than or equal to the bandwidth of the sensing sub-carrier. Formula 1 can be further written as: (2)

[0048] in, s LFMn (t) = s LFM (t) , B LFMn =B LFM , B QAMn ≤B LFM , n =1, 2, …, Ns.s LFM (t) is any sensing subcarrier, B LFM is the bandwidth of any sensing subcarrier, B QAMn For the n The bandwidth of the communication sub-signal.

[0049] Optionally, the calculation formula for the difference in center frequency between adjacent single-carrier synaesthesia integrated waveforms is: B LFM = (B LFMn-1 +B LFMn ) / 2≤△f n <B QAMn +B LFM .

[0050] Optionally, the difference between the center frequencies of adjacent single-carrier synaesthesia integrated waveforms is equal to the bandwidth of the perception subcarrier, which can maximize spectrum utilization.

[0051] It can be understood that the present invention sets the center frequencies of different sub-carrier synaesthesia integrated waveforms so that the spectrums of adjacent single-carrier synaesthesia integrated waveforms partially overlap, thereby saving frequency domain resources and improving spectrum efficiency.

[0052] The present invention is illustrated below by taking a preferred embodiment.

[0053] Assume that the number of sensing subcarriers and communication subsignals are both three, and the bandwidths of the three communication subsignals are B QAMThe communication modulation formats are 4QAM, 16QAM, and 4QAM, and the DC components are K .

[0054] Figure 3a is the spectrum diagram of the existing frequency division multiplexing combined waveform, Figure 3b It is a spectrum diagram of the single-carrier synaesthesia integrated waveform provided by the present invention, Figure 3c It is a spectrum diagram of the multi-subcarrier synaesthesia integrated waveform provided by the present invention.

[0055] Usually, for ease of processing, when combining waveforms in frequency division multiplexing (FDM), it is necessary to ensure that the spectrum between adjacent waveforms does not overlap. s (QAM-LFM-IF)n (t) ), the difference between the center frequencies of adjacent subcarriers: Δf n =f n -f n-1 ≥(B QAMn-1 +B LFMn-1 +B QAMn +B LFMn ) / 2=B QAM +B LFM , so that the spectrum of adjacent subcarriers in the multi-subcarrier integrated waveform does not overlap. Multiple intermediate frequency single-carrier integrated waveforms ( s (QAM-LFM-IF)n (t) ) to form a spectrum diagram of a multi-subcarrier synaesthesia integrated waveform as shown in Figure 3a As shown in the figure, the total bandwidth of the multi-subcarrier synaesthesia integrated waveform synthesized by traditional frequency division multiplexing method is B total ≥3*(B LFM +B QAM ) , there is no spectrum overlap between adjacent subcarriers, and no frequency resources are saved.

[0056] To solve the above problems, the present invention integrates each intermediate frequency single carrier synaesthesia waveform ( s (QAM-LFM-IF)n (t) The formula for calculating the difference in center frequency is B LFM =(B LFMn-1 +BLFMn ) / 2≤△f n <B QAM +B LFM , so that the spectra of adjacent waveforms overlap.

[0057] like Figure 3b As shown, optionally, in order to maximize spectrum utilization, you can set Δf n =B LFM .like Figure 3c As shown, multiple intermediate frequency single-carrier synaesthesia integrated waveforms ( s (QAM-LFM-IF)n (t) ) are combined by frequency division multiplexing (FDM); the synthesized multi-subcarrier synaesthesia integrated waveform ( s FDM-QAM-LFM (t) ) of the total bandwidth B total =3*B LFM +B QAM .

[0058] Figure 4 This is a synaesthesia integrated waveform time-frequency diagram based on three perceptual subcarriers provided by the present invention, such as Figure 4 As shown, the multi-carrier synaesthesia integrated waveform proposed by the present invention ( s FDM-QAM-LFM (t) ) has a large time-bandwidth product, and the bandwidth of the overlapping spectrum of adjacent subcarriers is B QAM Compared with the traditional frequency division multiplexing (FDM) combination method, the spectrum overlapping scheme provided by the present invention can save bandwidth B save =2*B QAM , and the saved bandwidth will increase with the increase of the number of sensing subcarriers.

[0059] By analogy, assuming that the bandwidths of the communication sub-signals are not necessarily the same, the number of sensing sub-carriers is N When the multi-subcarrier synaesthesia integrated waveform proposed by the present invention ( s FDM-QAM-LFM (t) ) of the total bandwidth ( B total ) is calculated as follows: (3)

[0060] in, BQAMn is the bandwidth of the nth communication sub-signal, is the bandwidth of the first communication sub-signal, For the N The bandwidth of the communication sub-signal.

[0061] The spectrum overlapping method proposed in the present invention can save bandwidth ( B save )for: (4)

[0062] The meaning of the symbols in Formula 4 can be referred to above. According to Formula 4, it can be known that the bandwidth saved by the present invention will increase as the number of perceptual subcarriers increases.

[0063] The multi-subcarrier synaesthesia integrated signal generated by the present invention ( s FDM-QAM-LFM (t) ) can be up-converted to the terahertz band through a terahertz up-conversion module, and finally transmitted into the air through a terahertz signal transmitter.

[0064] The synaesthesia integrated waveform perception processing method provided by the present invention is described below. The synaesthesia integrated waveform perception processing method described below and the synaesthesia integrated waveform generating method described above can be referred to each other.

[0065] Figure 5 is a flow chart of the synaesthesia integrated waveform perception processing method provided by the present invention, such as Figure 5 As shown, the present invention also provides a synaesthesia integrated waveform perception processing method, which specifically includes the following steps.

[0066] Step S210, obtaining a terahertz signal to be processed, wherein the terahertz signal is determined by the multi-subcarrier synaesthesia integrated waveform in any one of the synaesthesia integrated waveform generation methods. The terahertz signal is up-converted by a terahertz up-conversion module to a terahertz band, and finally transmitted to the air through a terahertz signal transmitter. In the embodiment of the present invention, the terahertz signal to be processed can be received by a terahertz signal receiver.

[0067] Step S220, obtaining at least one baseband multi-carrier integrated waveform according to the terahertz signal. Performing frequency conversion and analog-to-digital conversion on the terahertz signal to obtain at least one baseband multi-carrier integrated waveform, the baseband multi-carrier integrated waveform corresponding to the multi-carrier synaesthesia integrated waveform in the synaesthesia integrated waveform generation method.

[0068] Step S230, performing matched filtering on the baseband multi-carrier integrated waveform to obtain target perception information. Matching filtering on the baseband multi-carrier integrated waveform can determine a correlation peak, and the correlation peak is used as the target perception information.

[0069] It can be understood that the terahertz signal generated based on the multi-subcarrier synaesthesia integrated waveform retains a unique phase, and an obvious correlation peak can be obtained after matched filtering, thereby obtaining target perception information. The radar echo signal (ie, the terahertz signal) is pulse compressed through simple matched filtering processing to suppress the interference of the communication signal on the radar function and realize the perception function.

[0070] Based on the above embodiment, as an optional embodiment, obtaining at least one baseband multi-carrier integrated waveform according to the terahertz signal includes: The terahertz signal is subjected to terahertz down-conversion, analog-to-digital conversion and digital down-conversion processing to obtain at least one baseband multi-carrier integrated waveform.

[0071] Specifically, the terahertz signal receiver receives the terahertz sensing echo, the terahertz down-conversion module down-converts the terahertz echo into an intermediate frequency echo, the analog-to-digital conversion module converts the intermediate frequency analog signal into an intermediate frequency digital signal, and down-converts the intermediate frequency digital signal to baseband in the digital domain.

[0072] It can be understood that the embodiment of the present invention provides a technical solution for converting a terahertz signal into a baseband multi-carrier integrated waveform in order to realize the sensing function.

[0073] Based on the above embodiment, as an optional embodiment, the matched filtering of the baseband multi-carrier integrated waveform to obtain target perception information includes the following steps.

[0074] Step S231 : reconstructing a multi-carrier linear frequency modulation signal based on the pre-backed-up linear frequency modulation signal to obtain a reconstructed linear frequency modulation signal.

[0075] Figure 6a This is a single carrier sensing function result diagram, such as Figure 6a As shown, the first term in Formula 2 ( s QAMn (t)·s LFMn (t) ) will destroy the unique chirp phase of the original LFM signal, causing it to lose its correlation with the original LFM signal. s (QAM-LFM-BB)n (t) ) after matched filtering, there is no obvious correlation peak. Thanks to the DC bias component, the second term in Equation 2 ( K n ·s LFM (t)) retains the unique chirp phase of the original LFM signal, and an obvious correlation peak can be obtained after matched filtering. According to the correlation peak, the target perception information can be easily obtained.

[0076] Step S232: performing matched filtering on the baseband multi-carrier integrated waveform based on the reconstructed linear frequency modulation signal to obtain target perception information.

[0077] Figure 6b This is a comparison chart of the single carrier sensing function results and the multi-carrier sensing function results. Figure 6b As shown, the baseband multi-carrier integrated waveform in the present invention is separated from the multi-subcarrier synaesthesia integrated waveform. The lobe width of the result (solid line) of the synaesthesia integrated echo processing based on three subcarriers is 1 / 3 of the single-carrier result (dashed line), that is, the resolution is improved by three times. The present invention reconstructs the multi-carrier LFM signal through the backup LFM signal, and uses the reconstructed LFM signal to perform matched filtering on the multi-subcarrier synaesthesia integrated echo after digital down-conversion, so as to obtain the sum of all perception subcarrier bandwidths ( 3*B LFM ) resolution.

[0078] When the number of subcarriers is N When the multi-subcarrier synaesthesia integrated waveform proposed by the present invention ( s FDM-QAM-LFM (t) ) is: (5)

[0079] in, c is the speed of light, ρ sFDM-QAM-LFM (t) is the perception resolution. Compared with the time division multiplexing (TDM) or frequency division multiplexing (FDM) mode, the multi-subcarrier synaesthesia integrated waveform ( s FDM-QAM-LFM (t) ) has a large time-bandwidth product, which can achieve high-precision perception function without losing time information.

[0080] It can be understood that the present invention can greatly improve the perception resolution based on DC bias and multi-carrier fusion processing.

[0081] The synaesthesia integrated waveform communication processing method provided by the present invention is described below. The synaesthesia integrated waveform communication processing method described below and the synaesthesia integrated waveform generating method and the synaesthesia integrated waveform perception processing method described above can be referred to each other.

[0082] Figure 7: is a flow chart of the synaesthesia integrated waveform communication processing method provided by the present invention, such as Figure 7 As shown, the present invention also provides a synaesthesia integrated waveform communication processing method, which specifically includes the following steps.

[0083] Step S310, obtaining a terahertz signal to be processed, wherein the terahertz signal is determined by the multi-subcarrier synaesthesia integrated waveform in any one of the synaesthesia integrated waveform generation methods. The terahertz signal is up-converted by a terahertz up-conversion module to a terahertz band, and finally transmitted to the air through a terahertz signal transmitter. In the embodiment of the present invention, the terahertz signal to be processed can be received by a terahertz signal receiver.

[0084] Step S320, obtaining at least one baseband multi-carrier integrated waveform according to the terahertz signal. Performing frequency conversion and analog-to-digital conversion on the terahertz signal to obtain at least one baseband multi-carrier integrated waveform, the baseband multi-carrier integrated waveform corresponding to the multi-carrier synaesthesia integrated waveform in the synaesthesia integrated waveform generation method.

[0085] Optionally, the terahertz signal receiver receives the terahertz sensing echo, the terahertz down-conversion module down-converts the terahertz echo into an intermediate frequency echo, the analog-to-digital conversion module converts the intermediate frequency analog signal into an intermediate frequency digital signal, and down-converts the intermediate frequency digital signal to baseband in the digital domain.

[0086] Step S330: Match filtering is performed on the baseband multi-carrier integrated waveform, and carrier time synchronization of each baseband multi-carrier integrated waveform is achieved based on the matched filtering result. Figure 6b It can be seen that the multi-subcarrier synaesthesia integrated waveform proposed in the present invention ( s FDM-QAM-LFM (t) ) has good cross-correlation characteristics with the multi-carrier LFM signal, which can be used for time synchronization of communication functions.

[0087] Step S340, de-skewing, offset removal and demodulation processing are performed on the synchronized baseband multi-carrier integrated waveform to obtain a target communication signal.

[0088] It can be understood that the multi-subcarrier synaesthesia integrated waveform provided by the present invention shares the same time-frequency resources to realize communication and perception functions. When realizing the communication function, the time synchronization of the communication sequence can be realized by matching filtering the downlink communication signal, and the synchronized multi-subcarrier synaesthesia integrated waveform is de-skewed to eliminate the influence of the radar function and spectrum overlap on the communication function, and obtain a multi-carrier communication signal after DC bias. Finally, the communication function can be realized through the commonly used communication demodulation algorithm, eliminating the use of the conventional communication synchronization header, and greatly reducing the complexity of the additional demodulation code.

[0089] Based on the above embodiment, as an optional embodiment, the baseband multi-carrier integrated waveform is subjected to matched filtering, and carrier time synchronization of each baseband multi-carrier integrated waveform is achieved based on the matched filtering result, including the following steps.

[0090] Step S331 : reconstructing a multi-carrier linear frequency modulation signal based on the pre-backed-up linear frequency modulation signal to obtain a reconstructed linear frequency modulation signal.

[0091] Step S332, based on the reconstructed linear frequency modulation signal, the baseband multi-carrier integrated waveform is subjected to matched filtering to obtain a matched filtering result. The present invention uses the backup LFM signal to reconstruct the multi-carrier LFM signal, and uses the reconstructed multi-carrier LFM signal to filter the multi-subcarrier integrated waveform ( s FDM-QAM-LFM (t) ) to perform matched filtering processing, determine the position of the correlation peak and use the position of the correlation peak as the matched filtering result.

[0092] Step S333: performing carrier time synchronization on the baseband multi-carrier integrated waveform according to the matched filtering result. Performing carrier time synchronization on the baseband multi-carrier integrated waveform specifically refers to taking the position of the correlation peak as the multi-subcarrier synaesthesia integrated waveform ( s FDM-QAM-LFM (t) ) time starting point.

[0093] It can be understood that in the multi-subcarrier synaesthesia integrated waveform proposed by the present invention, the communication and perception functions share the same time resources, that is, the multi-subcarrier synaesthesia integrated waveform ( s FDM-QAM-LFM (t) ) is at the same position as the starting point of the communication signal, so high signal-to-noise ratio and high-precision time synchronization of the communication signal can be achieved by determining the position of the correlation peak.

[0094] Figure 8a is a signal spectrum diagram after de-skewing provided by the present invention, Figure 8b-Figure 8d They are schematic diagrams of communication demodulation results corresponding to the first to third sensing subcarriers provided by the present invention. Based on the above embodiment, as an optional embodiment, after time synchronization, the present invention uses a backup single-carrier LFM signal to perform baseband multi-subcarrier inter-sensing integrated waveform ( s FDM-QAM-LFM (t) ) is de-skewing to remove the LFM subcarrier. The de-skewing formula is as follows: (6)

[0095] in, conj(#) To obtain # The conjugate signal of , and the meanings of other symbols can be found above.

[0096] from Figure 8a It can be seen from equation 6 that the baseband multi-subcarrier synaesthesia integrated waveform ( s FDM-QAM-LFM (t) ) will be de-skewed into a DC biased communication signal based on frequency division multiplexing (FDM), thereby eliminating the impact of spectrum overlap on the communication function. The de-skewed signal is first subjected to DC bias removal, and then the required communication sub-signal is filtered out through a digital filter, and finally demodulated and performance evaluated using a commonly used communication algorithm.

[0097] Figure 8b-Figure 8d They are the communication function simulation result diagrams of the synaesthesia integrated waveforms corresponding to the first, second and third perception subcarriers respectively. It can be seen from the figure that the constellation diagrams of 4QAM and 16QAM signals have good aggregation effects, and the corresponding bit error rates are all zero.

[0098] It can be understood that the waveform proposed in the present invention is highly flexible and can flexibly adjust each communication sub-signal according to actual needs, thereby achieving an ultra-high communication rate.

[0099] The synaesthesia integrated waveform communication system provided by the present invention is described below. The synaesthesia integrated waveform communication system described below and the synaesthesia integrated waveform generation method, synaesthesia integrated waveform perception processing method, and synaesthesia integrated waveform communication processing method described above can be referenced to each other.

[0100] Fig. 9 Schematic diagram of the structure of the synaesthesia integrated waveform communication system provided by the present invention. Fig. 9 As shown, the present invention also provides a synaesthesia integrated waveform communication system, including a waveform generation module, a signal transmission module, a perception processing module and a communication processing module.

[0101] The waveform generation module is used to obtain at least one communication sub-signal and at least one perception sub-carrier; perform DC bias processing on each of the communication sub-signals, encode each of the perception sub-carriers based on the biased communication sub-signals, and obtain a single-carrier synaesthesia integrated waveform; perform frequency conversion processing on each of the single-carrier synaesthesia integrated waveforms, combine the frequency-converted single-carrier synaesthesia integrated waveforms based on frequency division multiplexing, and overlap the frequency spectra of adjacent single-carrier synaesthesia integrated waveforms to obtain a multi-subcarrier synaesthesia integrated waveform.

[0102] The signal transmitting module is used to obtain a terahertz signal according to the multi-subcarrier synaesthesia integrated waveform.

[0103] The perception processing module is used to obtain a terahertz signal to be processed; obtain at least one baseband multi-carrier integrated waveform according to the terahertz signal; and perform matched filtering on the baseband multi-carrier integrated waveform to obtain target perception information.

[0104] The communication processing module is used to obtain a terahertz signal to be processed; obtain at least one baseband multi-carrier integrated waveform according to the terahertz signal; perform matched filtering on the baseband multi-carrier integrated waveform, and realize carrier time synchronization of each baseband multi-carrier integrated waveform based on the matched filtering result; perform de-skewing, offset removal and demodulation processing on the synchronized baseband multi-carrier integrated waveform to obtain a target communication signal.

[0105] The multi-subcarrier synaesthesia integrated waveform proposed in the present invention is simultaneously co-frequency, and the two functions of communication and perception can share the same time-frequency resources and software and hardware equipment, and high communication rate and high perception accuracy can be achieved through simple digital signal processing (DSP). On this basis, by increasing the number of subcarriers, the proposed waveform effectively saves frequency domain resources while achieving high-speed communication and high-precision perception, and improves the spectrum efficiency of the synaesthesia integrated waveform.

[0106] Fig.10 An example of a physical structure diagram of an electronic device is shown in FIG. Fig.10 As shown, the electronic device may include: a processor 1010, a communication interface 1020, a memory 1030 and a communication bus 1040, wherein the processor 1010, the communication interface 1020 and the memory 1030 communicate with each other through the communication bus 1040. The processor 1010 may call the logic instructions in the memory 1030 to execute any of the above-mentioned synaesthesia integrated waveform generation methods or any of the above-mentioned synaesthesia integrated waveform perception processing methods or any of the above-mentioned synaesthesia integrated waveform communication processing methods.

[0107] In addition, the logic instructions in the above-mentioned memory 1030 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0108] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute any of the above-mentioned synaesthesia integrated waveform generation methods or any of the above-mentioned synaesthesia integrated waveform perception processing methods or any of the above-mentioned synaesthesia integrated waveform communication processing methods.

[0109] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned synaesthesia integrated waveform generation methods or any of the above-mentioned synaesthesia integrated waveform perception processing methods or any of the above-mentioned synaesthesia integrated waveform communication processing methods.

[0110] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0111] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0112] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A synaesthesia integrated waveform generation method, characterized in that: include: Acquire at least one communication sub-signal and at least one sensing sub-carrier; Performing DC bias processing on each of the communication sub-signals, encoding each of the perception sub-carriers based on the biased communication sub-signals, and obtaining a single-carrier synaesthesia integrated waveform; The single-carrier synaesthesia integrated waveforms are frequency-converted, the frequency-converted single-carrier synaesthesia integrated waveforms are combined based on frequency division multiplexing, and the frequency spectra of adjacent single-carrier synaesthesia integrated waveforms are overlapped to obtain a multi-subcarrier synaesthesia integrated waveform.

2. The synaesthesia integrated waveform generation method according to claim 1, characterized in that: The sensing subcarrier includes a linear frequency modulation signal, and the DC bias processing is performed on each of the communication sub-signals, including: A DC bias process is performed on each of the communication sub-signals to retain the chirp phase of the linear frequency modulation signal.

3. The synaesthesia integrated waveform generation method according to claim 1 or 2, characterized in that: The perception subcarriers are kept consistent, the bandwidth of each communication sub-signal is less than or equal to the bandwidth of each perception subcarrier, and the frequency conversion processing of each single-carrier interawareness integrated waveform includes: Performing frequency conversion processing on each of the single-carrier synaesthesia integrated waveforms based on a predetermined center frequency of each of the single-carrier synaesthesia integrated waveforms; The center frequencies of the single-carrier synaesthesia integrated waveforms are different, and the difference between the center frequencies of adjacent single-carrier synaesthesia integrated waveforms is determined according to the bandwidth of the communication sub-signal and the bandwidth of the perception sub-carrier.

4. The synaesthesia integrated waveform generation method according to claim 3, characterized in that: The difference between the center frequencies of adjacent single-carrier synaesthesia integrated waveforms is equal to the bandwidth of the perception subcarrier.

5. A synaesthesia integrated waveform perception processing method, characterized in that: include: Acquire a terahertz signal to be processed, wherein the terahertz signal is determined by the multi-subcarrier synaesthesia integrated waveform in the synaesthesia integrated waveform generation method according to any one of claims 1 to 4; According to the terahertz signal, at least one baseband multi-carrier integrated waveform is obtained; Matched filtering is performed on the baseband multi-carrier integrated waveform to obtain target perception information.

6. The synaesthesia integrated waveform perception processing method according to claim 5, characterized in that: The step of obtaining at least one baseband multi-carrier integrated waveform according to the terahertz signal comprises: The terahertz signal is subjected to terahertz down-conversion, analog-to-digital conversion and digital down-conversion processing to obtain at least one baseband multi-carrier integrated waveform.

7. The synaesthesia integrated waveform perception processing method according to claim 5 or 6, characterized in that: The performing matched filtering on the baseband multi-carrier integrated waveform to obtain target perception information includes: Reconstructing a multi-carrier linear frequency modulation signal based on a pre-backed-up linear frequency modulation signal to obtain a reconstructed linear frequency modulation signal; The baseband multi-carrier integrated waveform is subjected to matched filtering based on the reconstructed linear frequency modulation signal to obtain target perception information.

8. A synaesthesia integrated waveform communication processing method, characterized in that: include: Acquire a terahertz signal to be processed, wherein the terahertz signal is determined by the multi-subcarrier synaesthesia integrated waveform in the synaesthesia integrated waveform generation method according to any one of claims 1 to 4; According to the terahertz signal, at least one baseband multi-carrier integrated waveform is obtained; Performing matched filtering on the baseband multi-carrier integrated waveform, and achieving carrier time synchronization of each of the baseband multi-carrier integrated waveforms based on the matched filtering result; The synchronized baseband multi-carrier integrated waveform is de-skewed, offset removed and demodulated to obtain a target communication signal.

9. The synaesthesia integrated waveform communication processing method according to claim 8, characterized in that: The performing matched filtering on the baseband multi-carrier integrated waveform and realizing carrier time synchronization of each baseband multi-carrier integrated waveform based on the matched filtering result includes: Reconstructing a multi-carrier linear frequency modulation signal based on a pre-backed-up linear frequency modulation signal to obtain a reconstructed linear frequency modulation signal; Performing matched filtering on the baseband multi-carrier integrated waveform based on the reconstructed linear frequency modulation signal to obtain a matched filtering result; According to the matched filtering result, carrier time synchronization is performed on each of the baseband multi-carrier integrated waveforms.

10. A synaesthesia integrated waveform communication system, characterized in that: It includes a waveform generation module, a signal transmission module, a perception processing module and a communication processing module; The waveform generation module is used to obtain at least one communication sub-signal and at least one perception sub-carrier; perform DC bias processing on each of the communication sub-signals, encode each of the perception sub-carriers based on the biased communication sub-signal, and obtain a single-carrier synaesthesia integrated waveform; Performing frequency conversion processing on each of the single-carrier synaesthesia integrated waveforms, combining the frequency-converted single-carrier synaesthesia integrated waveforms based on frequency division multiplexing, and overlapping the frequency spectra of adjacent single-carrier synaesthesia integrated waveforms to obtain a multi-subcarrier synaesthesia integrated waveform; The signal transmission module is used to obtain a terahertz signal according to the multi-subcarrier synaesthesia integrated waveform; The sensing and processing module is used to obtain a terahertz signal to be processed; and obtain at least one baseband multi-carrier integrated waveform according to the terahertz signal; Performing matched filtering on the baseband multi-carrier integrated waveform to obtain target perception information; The communication processing module is used to obtain a terahertz signal to be processed; and obtain at least one baseband multi-carrier integrated waveform according to the terahertz signal; Performing matched filtering on the baseband multi-carrier integrated waveform, and achieving carrier time synchronization of each of the baseband multi-carrier integrated waveforms based on the matched filtering result; The synchronized baseband multi-carrier integrated waveform is de-skewed, offset removed and demodulated to obtain a target communication signal.

11. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the synaesthesia integrated waveform generation method according to any one of claims 1 to 4, the synaesthesia integrated waveform perception processing method according to any one of claims 5 to 7, or the synaesthesia integrated waveform communication processing method according to claim 8 or 9 is implemented.

12. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the synaesthesia integrated waveform generation method according to any one of claims 1 to 4, the synaesthesia integrated waveform perception processing method according to any one of claims 5 to 7, or the synaesthesia integrated waveform communication processing method according to claim 8 or 9 is implemented.

13. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the synaesthesia integrated waveform generation method according to any one of claims 1 to 4, the synaesthesia integrated waveform perception processing method according to any one of claims 5 to 7, or the synaesthesia integrated waveform communication processing method according to claim 8 or 9 is implemented.

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