CN117749233A - Detection communication integrated transmitting signal determining method and device based on MIMO sonar - Google Patents

Detection communication integrated transmitting signal determining method and device based on MIMO sonar Download PDF

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Publication number
CN117749233A
CN117749233A CN202410177108.1A CN202410177108A CN117749233A CN 117749233 A CN117749233 A CN 117749233A CN 202410177108 A CN202410177108 A CN 202410177108A CN 117749233 A CN117749233 A CN 117749233A
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target
transmitting
data
determining
index number
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任勇
门伟
杜军
侯向往
王子源
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Tsinghua University
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Tsinghua University
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The application relates to a detection communication integrated transmitting signal determining method and device based on MIMO sonar. The method comprises the following steps: processing target data to be transmitted according to index modulation parameters and phase modulation parameters to obtain a target index number and a target phase symbol, wherein the target index number is an index number of a target waveform corresponding to the target data, and the target phase symbol is a phase symbol corresponding to the target waveform; determining a transmit beamforming weight vector according to the target characteristic information, the target index number and the target phase symbol; and determining the transmitting signals of all array elements by utilizing the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signals, transmitting the transmitting signals based on MIMO sonar, wherein a main lobe of a beam formed by the transmitting signals is used for realizing a detection function, and a side lobe of the beam formed by the transmitting signals is used for transmitting the target data. By adopting the method, the efficiency of the communication detection integrated technology can be effectively improved.

Description

Detection communication integrated transmitting signal determining method and device based on MIMO sonar
Technical Field
The application relates to the technical field of underwater sound detection and communication, in particular to a detection and communication integrated transmitting signal determining method and device based on MIMO sonar.
Background
Because of the high similarity between the detection technology and the communication technology in hardware and software implementation, the detection communication integration technology has been widely studied in the radar and sound fields to achieve more effective detection, tracking of targets and data sharing.
In the prior art, MIMO (multiple-in multiple-out) is adopted to implement the integrated technology of detection communication.
However, the detection communication integrated technology based on the MIMO is low in communication efficiency, so that the overall performance of the detection communication integrated system is affected.
Disclosure of Invention
Based on the above, it is necessary to provide a method and a device for determining a sounding communication integrated transmitting signal based on MIMO sonar, which can effectively improve the efficiency of the sounding communication integrated technology.
In a first aspect, the present application provides a method for determining a sounding communication integrated transmission signal based on MIMO sonar, including:
processing target data to be transmitted according to index modulation parameters and phase modulation parameters to obtain a target index number and a target phase symbol, wherein the target index number is an index number of a target waveform corresponding to the target data, and the target phase symbol is a phase symbol corresponding to the target waveform; determining a transmit beamforming weight vector according to the target characteristic information, the target index number and the target phase symbol; and determining the transmitting signals of all array elements by utilizing the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signals, transmitting the transmitting signals based on MIMO sonar, wherein a main lobe of a beam formed by the transmitting signals is used for realizing a detection function, and a side lobe of the beam formed by the transmitting signals is used for transmitting the target data.
In one embodiment, the target data includes first data and second data, and the processing the target data to be transmitted according to the index modulation parameter and the phase modulation parameter to obtain a target index number and a target phase symbol includes: performing serial-parallel conversion processing and binary conversion processing on the first data according to the index modulation parameters to obtain the target index number; and carrying out serial-parallel conversion processing and binary conversion processing on the second data according to the phase modulation parameters so as to obtain the target phase symbol.
In one embodiment, the first data is data embedded by index modulation and the second data is data embedded by phase modulation.
In one embodiment, the determining the transmit beamforming weight vector based on the target characteristic information, the target index number, and the target phase symbol comprises: determining a target detection direction and a target communication direction according to the target characteristic information; the transmit beamforming weight vector is determined based on a target optimization algorithm, the target detection direction, the target communication direction, the target index number, and the target phase symbol.
In one embodiment, the determining the transmission signal of each array element by using the transmission beam forming weight vector and the target orthogonal chirp signal, and transmitting the transmission signal based on MIMO sonar includes: determining the target orthogonal linear frequency modulation signal according to the detection communication integrated system parameter and the target characteristic information; and determining a transmitting signal of each array element by using the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signal, and transmitting the transmitting signal based on MIMO sonar.
In one embodiment, the determining the transmission signal of each array element by using the transmission beam forming weight vector and the target orthogonal chirp signal, and transmitting the transmission signal based on MIMO sonar includes: and carrying out weighted summation processing on the transmission beam forming weight vector and the target orthogonal linear frequency modulation signal to determine the transmission signal of each array element, and transmitting the transmission signal based on MIMO sonar.
In a second aspect, the present application further provides a detection communication integrated transmission signal determining device based on MIMO sonar, including:
the execution module is used for processing target data to be transmitted according to the index modulation parameters and the phase modulation parameters to obtain a target index number and a target phase symbol, wherein the target index number is an index number of a target waveform corresponding to the target data, and the target phase symbol is a phase symbol corresponding to the target waveform;
the first determining module is used for determining a transmitting beam forming weight vector according to the target characteristic information, the target index number and the target phase symbol;
and the second determining module is used for determining the transmitting signals of all array elements by utilizing the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signals, transmitting the transmitting signals based on MIMO sonar, wherein a main lobe of a beam formed by the transmitting signals is used for realizing a detection function, and a side lobe of the beam formed by the transmitting signals is used for transmitting the target data.
In a third aspect, the present application further provides a computer device, including a memory and a processor, the memory storing a computer program, the processor implementing the method according to any one of the embodiments of the first aspect when executing the computer program.
In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method according to any one of the embodiments of the first aspect.
In a fifth aspect, the present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the method according to any of the embodiments of the first aspect.
According to the method and the device for determining the detection communication integrated transmitting signal based on the MIMO sonar, target data to be transmitted are processed according to the index modulation parameters and the phase modulation parameters to obtain target index numbers and target phase symbols, wherein the target index numbers are index numbers of target waveforms corresponding to the target data, and the target phase symbols are phase symbols corresponding to the target waveforms; determining a transmit beamforming weight vector according to the target characteristic information, the target index number and the target phase symbol; and determining the transmitting signals of all array elements by utilizing the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signals, transmitting the transmitting signals based on MIMO sonar, wherein a main lobe of a beam formed by the transmitting signals is used for realizing a detection function, and a side lobe of the beam formed by the transmitting signals is used for transmitting the target data. According to the detection communication integrated transmission signal determining method based on the MIMO sonar, as the main lobe of the beam formed by the transmission signals is used for realizing the detection function, the side lobe of the beam formed by the transmission signals is used for transmitting the target data, and the target data to be transmitted is processed through the index modulation and phase modulation method, so that the target data to be transmitted is embedded in the communication direction, the problem of competitive interference between detection and communication is avoided, and the communication efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for a person having ordinary skill in the art.
Fig. 1 is a flow chart of a method for determining a sounding communication integrated transmission signal based on MIMO sonar in one embodiment;
fig. 2 is a flow chart of a method for processing target data to be transmitted according to index modulation parameters and phase modulation parameters to obtain a target index number and a target phase symbol in an embodiment;
FIG. 3 is a flow diagram of a method for determining a transmit beamforming weight vector based on target characteristic information, the target index number, and the target phase symbol in one embodiment;
FIG. 4 is a flow chart of a method for determining a transmit signal for each element using the transmit beamforming weight vector and a target quadrature chirp signal and transmitting the transmit signal based on MIMO sonar in one embodiment;
fig. 5 is a flow chart of a method for determining a sounding communication integrated transmission signal based on MIMO sonar in another embodiment;
fig. 6 is a block diagram of a detection communication integrated transmission signal determining apparatus based on MIMO sonar in one embodiment;
FIG. 7 is an internal block diagram of a computer device in one embodiment;
FIG. 8 is a schematic diagram of a target data embedding process in one embodiment;
FIG. 9 is a schematic diagram of a transmit signal design process in one embodiment;
FIG. 10 is a schematic diagram of a simulated underwater acoustic channel in one embodiment;
FIG. 11 is a graph illustrating the results of communication rate analysis in one embodiment;
FIG. 12 is a diagram of transmit beam simulation results in one embodiment;
FIG. 13 is a diagram illustrating a relationship between a communication error rate and a signal-to-noise ratio in one embodiment;
fig. 14 is a schematic diagram of a relationship between a communication error rate and an azimuth angle in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Because of the high similarity between the detection technology and the communication technology in hardware and software implementation, the detection communication integration technology has been widely studied in the radar and sound fields to achieve more effective detection, tracking of targets and data sharing.
In the prior art, MIMO (multiple-in multiple-out) is generally adopted to implement the integrated technology of detection communication.
However, the MIMO-based detection communication integrated technology has the problems of single information modulation mode and lower communication efficiency of a communication symbol embedding method facing to a side lobe of a transmitting beam, and also has the problem of competitive interference between detection and communication, thereby affecting the overall performance of the detection communication integrated system.
In view of this, the application provides a detection communication integrated transmitting signal determining method based on the MIMO sonar, which can effectively improve the efficiency of the detection communication integrated technology.
The method for determining the detection communication integrated transmitting signal based on the MIMO sonar provided by the embodiment of the application can be implemented by a computer device, and the computer device can be a server.
In an exemplary embodiment, as shown in fig. 1, there is provided a MIMO sonar-based detection communication integrated transmission signal determining method, which includes the steps of:
and step 101, processing target data to be transmitted according to the index modulation parameters and the phase modulation parameters to obtain a target index number and a target phase symbol.
The target index number is an index number of a target waveform corresponding to the target data, and the target phase symbol is a phase symbol corresponding to the target waveform.
Alternatively, the phase modulation parameter may be the order of the phase modulation.
In one possible implementation, the index modulation parameter and the phase modulation order are preset by a technician according to actual requirements.
Alternatively, the index modulation refers to the transmission of additional information using physical resources in a transmission channel, which may provide higher data transmission rates and capacities with limited resources.
Alternatively, the phase modulation refers to a modulation mode that encodes information as instantaneous phase changes of the carrier wave.
In one possible implementation, the target data may be processed according to the index modulation parameter to obtain a target index number, and then processed according to the phase modulation parameter to obtain a target phase symbol.
In another possible implementation manner, the target data may be further divided into two parts, and one part of the target data is processed according to the index modulation parameter to obtain a target index number, and the other part of the target data is processed according to the phase modulation parameter to obtain a target phase symbol.
Step 102, determining a transmitting beam forming weight vector according to the target characteristic information, the target index number and the target phase symbol.
Alternatively, the target characteristic information may be probe direction information and communication direction information, and the communication direction information may include distance information of the communication user and direction information of the communication user.
In one possible implementation, the target characteristic information, the target index number and the target phase symbol may be input into a pre-trained model to obtain the transmit beamforming weight vector output by the model.
In another possible implementation manner, the target detection direction and the target communication direction may be determined according to the target characteristic information, that is, the detection direction information and the communication direction information, and then the transmit beamforming weight vector may be determined based on a target optimization algorithm, the target detection direction, the target communication direction, the target index number, and the target phase symbol.
And 103, determining the transmitting signals of the array elements by using the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signals, and transmitting the transmitting signals based on MIMO sonar.
Wherein the main lobe of the beam formed by the transmission signal is used for realizing the detection function, and the side lobe of the beam formed by the transmission signal is used for transmitting the target data.
Optionally, a main lobe of the beam formed by the transmission signal is used to implement a detection function, and a side lobe of the beam formed by the transmission signal is used to transmit the target data.
In one possible implementation, the transmit beamforming weight vector and the target orthogonal chirp signal may be weighted and summed to determine a transmit signal for each array element, and the transmit signal is transmitted based on MIMO sonar, and a main lobe of a beam formed by the transmit signal is used to implement a sounding function, and side lobes of the beam formed by the transmit signal are used to transmit the target data so that sounding and communication do not interfere with each other.
In another possible implementation manner, the transmit beam forming weight vector and the target orthogonal chirp signal may be input into a transmit signal determining model to obtain transmit signals of individual array elements output by the transmit signal determining model, and the transmit signals are transmitted based on MIMO sonar, and a main lobe of a beam formed by the transmit signals is used to implement a detection function, and one side lobe of the beam formed by the transmit signals is used to transmit the target data so as not to interfere with each other between detection and communication.
According to the detection communication integrated transmitting signal determining method based on the MIMO sonar, target data to be transmitted are processed according to the index modulation parameters and the phase modulation parameters to obtain target index numbers and target phase symbols, wherein the target index numbers are index numbers of target waveforms corresponding to the target data, and the target phase symbols are phase symbols corresponding to the target waveforms; determining a transmit beamforming weight vector according to the target characteristic information, the target index number and the target phase symbol; and determining the transmitting signals of all array elements by utilizing the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signals, transmitting the transmitting signals based on MIMO sonar, wherein a main lobe of a beam formed by the transmitting signals is used for realizing a detection function, and a side lobe of the beam formed by the transmitting signals is used for transmitting the target data. According to the detection communication integrated transmitting signal determining method based on the MIMO sonar, the target data to be transmitted is processed through the index modulation and phase modulation method, so that the target data to be transmitted is embedded in the communication direction, the problem of competitive interference between detection and communication is avoided, the communication efficiency is improved, and the side lobe of the beam formed by the transmitting signal is used for transmitting the target data, so that the problem of competitive interference between detection and communication is effectively avoided.
In an exemplary embodiment, as shown in fig. 2, the target data includes first data and second data, and the processing is performed on the target data to be transmitted according to the index modulation parameter and the phase modulation parameter to obtain a target index number and a target phase symbol, including the following steps:
step 201, performing serial-parallel conversion processing and binary conversion processing on the first data according to the index modulation parameter to obtain the target index number.
In an alternative embodiment of the present application, the first data is data embedded by index modulation.
In one possible implementation, the index modulation parameter may be K, the first data may be IM bits, and the target index number obtained after serial-to-parallel conversion and binary conversion of the first data according to the index modulation parameter may beThis->Where M refers to the number of subcarriers of the target quadrature chirp signal described below.
Step 202, performing serial-parallel conversion processing and binary conversion processing on the second data according to the phase modulation parameter to obtain the target phase symbol.
In an alternative embodiment of the present application, the second data is data embedded by phase modulation.
In one possible implementation, the order of the phase modulation may be J, the second data may be PM bits, then according to the phase modulationThe target phase symbol obtained after serial-to-parallel conversion and binary conversion of the second data may beThis->
In an alternative embodiment of the present application, as shown in fig. 8, fig. 8 is a schematic example diagram of a process of embedding first data and second data, in fig. 8, IM bits correspond to the first data, selection based on carrier frequency is embedded in a transmission signal, in fig. 8, PM bits correspond to the second data, phase symbols are generated through a constellation dictionary and are superimposed on the selected carrier, and finally, the phase symbols are superimposed to obtain the transmission signal.
In an exemplary embodiment, as shown in fig. 3, the determining a transmit beamforming weight vector according to the target characteristic information, the target index number, and the target phase symbol includes the steps of:
step 301, determining a target detection direction and a target communication direction according to the target characteristic information;
step 302, determining the transmit beamforming weight vector based on a target optimization algorithm, the target detection direction, the target communication direction, the target index number, and the target phase symbol.
In one possible implementation, the target detection direction information and the target communication direction information may be determined according to the target characteristic information, then a target optimization algorithm is constructed based on the target detection direction and the target communication direction, and solved to obtain a set of the transmit beamforming weight vectorsThe target optimization algorithm is as followsWherein the process comprisesCorresponding side lobe angle range for the mth waveformGuiding an appropriate amount of matrix comprising G discrete angles, < ->Is a discrete angle set of the main lobe, +.>And->Index of selected waveform and index of unselected waveform, respectively, < >>For the target detection direction, R is the number of communication users, < >>For the direction in which the r-th communication subscriber is located, < > in>Side lobe amplitude for corresponding r-th communication receiver,/->The minimum required transmission amplitude for the r-th communication receiver, is related to the distance information of the communication user and the minimum signal-to-noise ratio required for the target communication error rate,for loading into->The phase on the waveform is used to transmit information to the (r) th communication receiver>Is a very small positive number for controlling the sidelobe amplitude of the unselected waveform in the communication direction, +.>Not loaded to->Phase on each waveform, +.>Is conjugate transpose->Is the 2-norm of the vector.
In an exemplary embodiment, as shown in fig. 4, the determining a transmission signal of each array element using the transmission beam forming weight vector and the target orthogonal chirp signal, and transmitting the transmission signal based on MIMO sonar, includes the steps of:
and step 401, determining the target orthogonal frequency-modulated signal according to the detection communication integrated system parameter and the target characteristic information.
Optionally, the probe communication integrated system parameter may include a system resource parameter, a transmission resource parameter, a frequency bandwidth, and a pulse width.
Optionally, the target quadrature chirp signal is formed by superposition of a plurality of frequency stepped narrowband chirps.
In one possible implementation, the number of subcarriers M of the target quadrature chirp signal, subcarrier bandwidth, may be determinedAnd pulse width T to generate a target chirp signal of satisfactory frequency steppingIn particular, the time domain waveform description of the target chirp signal may be expressed asWherein->For signal amplitude, T is signal pulse width, +.>Is positive to the mth targetStart frequency of cross-line chirped signal, +.>To adjust the frequency, the->
And step 402, determining the transmitting signals of the array elements by using the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signals, and transmitting the transmitting signals based on MIMO sonar.
In an alternative embodiment of the present application, the determining a transmission signal of each array element using the transmission beam forming weight vector and the target orthogonal chirp signal, and transmitting the transmission signal based on MIMO sonar includes: and carrying out weighted summation processing on the transmission beam forming weight vector and the target orthogonal linear frequency modulation signal to determine the transmission signal of each array element, and transmitting the transmission signal based on MIMO sonar.
In one possible implementation, as shown in fig. 9, the transmit beamforming weight vector and the target quadrature chirp signal are weighted and summed to obtain the transmit signal at each elementThe N is the number of array elements of the transmitting array, and specifically, the transmitting signal of the nth transmitting array element may be
In an alternative embodiment of the present application, the amount of information that can be carried by the M transmit signals is determined to beBits.
In an alternative embodiment of the present application, when the transmission signal is transmitted based on the MIMO sonar, the transmission signal reaches the communication receiving end through a channel to obtain a communication-end reception signal.
In a kind ofIn a possible implementation manner, the communication terminal receives signals which can beWherein P is the number of channel arrival paths, < >>And->The amplitude and delay of the p-th channel arrival path, respectively,>is the received additive ambient noise.
In an alternative embodiment of the present application, demodulation, filtering and sampling processing are further performed on the signal received by the communication terminal.
In one possible implementation manner, after demodulating, filtering and sampling the communication-side received signal, the signal may be expressed asWherein H is a channel matrix,,/>,/>as noise vectors, the channel matrix may be a topriltzfeldt channel matrix, which may be expressed asWhere h (L), l=0, 1.
In an alternative embodiment of the present application, it is further necessary to determine the waveform index and the corresponding phase symbol based on the maximum likelihood decoding, and complete the index demodulation and the phase demodulation according to the index modulation parameter K and the phase modulation order J, so as to obtain the target data,
in one possible implementation, the maximum likelihood criterion may be used to calculate the selected chirp index and corresponding phase symbol in the received signal and, in particular,wherein->Is the 2-norm of the vector.
In an exemplary embodiment, as shown in fig. 5, another method for determining a sounding communication integrated transmission signal based on MIMO sonar is provided, the method comprising the steps of:
step 501, performing serial-parallel conversion processing and binary conversion processing on the first data according to the index modulation parameter to obtain the target index number; performing serial-parallel conversion processing and binary conversion processing on the second data according to the phase modulation parameter to obtain the target phase symbol; the target data comprises first data and second data, the target index number is the index number of a target waveform corresponding to the target data, the target phase symbol is the phase symbol corresponding to the target waveform, the first data is data embedded through index modulation, and the second data is data embedded through phase modulation.
Step 502, determining a target detection direction and a target communication direction according to the target characteristic information; the transmit beamforming weight vector is determined based on a target optimization algorithm, the target detection direction, the target communication direction, the target index number, and the target phase symbol.
Step 503, determining the target orthogonal linear frequency modulation signal according to the detection communication integrated system parameter and the target characteristic information; carrying out weighted summation processing on the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signal to determine transmitting signals of all array elements, and transmitting the transmitting signals based on MIMO sonar; wherein the main lobe of the beam formed by the transmission signal is used for realizing the detection function, and the side lobe of the beam formed by the transmission signal is used for transmitting the target data.
It should be noted that, the inventor of the present application has performed actual tests by using the method provided by the present application, specifically, performed simulation analysis on the method provided by the present application according to the land actual measurement underwater sound environment, and the channel of the underwater sound in the simulation may be as shown in fig. 10, where fig. 10 (a) is the sound velocity profile actually measured in the land, fig. 10 (b) is the propagation path of the sound ray, fig. 10 (c) is the number of transmitting array elements of the MIMO sonar system set for the multipath channel impulse response assumption is n=12, the array element spacing is 80mm, and the subcarrier bandwidth of the target orthogonal linear frequency modulation signal isPulse width is t=0.02 s, detection direction is +.>The directions of two communication users are +.>Amplitude is +.>And
firstly, comparing the communication rate of the method provided by the present application with the communication rate of the method using phase modulation alone, the comparison result of the communication rates under different index parameters K can be shown in fig. 11, and it can be seen from fig. 11 that the method provided by the present application has a higher communication rate under specific index parameters K and phase parameters J, that is, each transmitting pulse can carry more information.
Next, simulation is performed on the transmit beams of the method provided in the present application, as shown in fig. 12, where the 1 st to 8 th beams are beam patterns of beam weight vectors corresponding to eight subcarriers, respectively, and the last is a synthesized transmit beam pattern, for the direction of the communication user 1, the unselected waveform indexes are "4" and "8", for the direction of the communication user 2, the unselected waveform indexes are "3" and "7", as can be seen from fig. 12, the corresponding transmit beams have deep nulls at two communication angles, and in addition, all transmit beams have almost the same main lobe, which indicates that for the method provided in the present application, embedding random information does not affect target detection.
Finally, the communication error rate performance of the method provided by the present application is simulated, taking the communication user 1 as an example, the error rate simulation result under different signal-to-noise ratios is shown in fig. 13, wherein the number of orthogonal linear frequency modulation subcarriers is set to m=10, as can be seen from fig. 13, as the signal-to-noise ratio increases, the error rate of the method provided by the present application gradually decreases, when the index modulation parameter k=3 and the phase modulation parameter j=4, the method provided by the present application has a signal-to-noise ratio of less than 10 when the signal-to-noise ratio is greater than-2 dB -3 In addition, the error rates of two communication users at different angles are simulated, and the result is shown in fig. 14, wherein the index modulation parameter is k=9, the phase modulation parameter is j=4, the signal-to-noise ratio is set to 8dB, and the signal-to-noise ratio is 10 in fig. 14 -5 It can be seen from fig. 14 that the bit error rate of the two communication users has deep nulls in the directions of the two communication users, and the bit error rates in other directions are high, which means that the method provided by the application can provide reliable anti-interception performance, and further reduce the risk of interception of communication information.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a detection communication integrated transmission signal determining device based on the MIMO sonar, which is used for realizing the detection communication integrated transmission signal determining method based on the MIMO sonar. The implementation scheme of the solution provided by the device is similar to the implementation scheme recorded in the method, so the specific limitation in the embodiment of the detection communication integrated transmission signal determining device based on the MIMO sonar provided below can be referred to the limitation of the detection communication integrated transmission signal determining method based on the MIMO sonar hereinabove, and the description is omitted here.
In an exemplary embodiment, as shown in fig. 6, there is provided a MIMO sonar-based detection communication integrated transmission signal determining apparatus 600, including: an execution module 601, a first determination module 602, and a second determination module 603, wherein:
the execution module 601 is configured to process target data to be transmitted according to an index modulation parameter and a phase modulation parameter to obtain a target index number and a target phase symbol, where the target index number is an index number of a target waveform corresponding to the target data, and the target phase symbol is a phase symbol corresponding to the target waveform;
a first determining module 602, configured to determine a transmit beamforming weight vector according to the target characteristic information, the target index number, and the target phase symbol;
and a second determining module 603, configured to determine a transmit signal of each array element by using the transmit beam forming weight vector and the target orthogonal chirp signal, and transmit the transmit signal based on MIMO sonar, where a main lobe of a beam formed by the transmit signal is used to implement a detection function, and a side lobe of a beam formed by the transmit signal is used to transmit the target data.
In one embodiment, the target data includes first data and second data, and the execution module 601 is specifically configured to perform serial-parallel conversion processing and binary conversion processing on the first data according to the index modulation parameter, so as to obtain the target index number; and carrying out serial-parallel conversion processing and binary conversion processing on the second data according to the phase modulation parameters so as to obtain the target phase symbol.
In one embodiment, the first data is data embedded by index modulation and the second data is data embedded by phase modulation.
In one embodiment, the first determining module 602 is specifically configured to determine a target detection direction and a target communication direction according to the target characteristic information; the transmit beamforming weight vector is determined based on a target optimization algorithm, the target detection direction, the target communication direction, the target index number, and the target phase symbol.
In one embodiment, the second determining module 603 is specifically configured to determine the target quadrature chirp signal according to the probe communication integrated system parameter and the target characteristic information; and determining a transmitting signal of each array element by using the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signal, and transmitting the transmitting signal based on MIMO sonar.
In one embodiment, the second determining module 603 is specifically configured to perform a weighted summation process on the transmit beamforming weight vector and the target orthogonal chirp signal to determine a transmit signal of each array element, and transmit the transmit signal based on MIMO sonar.
The above-mentioned detection communication integrated transmission signal determining device based on the MIMO sonar may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one exemplary embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing data. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor is used for realizing a detection communication integrated transmitting signal determining device method based on MIMO sonar.
It will be appreciated by those skilled in the art that the structure shown in fig. 7 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one exemplary embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
processing target data to be transmitted according to index modulation parameters and phase modulation parameters to obtain a target index number and a target phase symbol, wherein the target index number is an index number of a target waveform corresponding to the target data, and the target phase symbol is a phase symbol corresponding to the target waveform; determining a transmit beamforming weight vector according to the target characteristic information, the target index number and the target phase symbol; and determining the transmitting signals of all array elements by utilizing the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signals, transmitting the transmitting signals based on MIMO sonar, wherein a main lobe of a beam formed by the transmitting signals is used for realizing a detection function, and a side lobe of the beam formed by the transmitting signals is used for transmitting the target data.
In one embodiment, the processor when executing the computer program further performs the steps of: performing serial-parallel conversion processing and binary conversion processing on the first data according to the index modulation parameters to obtain the target index number; and carrying out serial-parallel conversion processing and binary conversion processing on the second data according to the phase modulation parameters so as to obtain the target phase symbol.
In one embodiment, the first data is data embedded by index modulation and the second data is data embedded by phase modulation.
In one embodiment, the processor when executing the computer program further performs the steps of: determining a target detection direction and a target communication direction according to the target characteristic information; the transmit beamforming weight vector is determined based on a target optimization algorithm, the target detection direction, the target communication direction, the target index number, and the target phase symbol.
In one embodiment, the processor when executing the computer program further performs the steps of: determining the target orthogonal linear frequency modulation signal according to the detection communication integrated system parameter and the target characteristic information; and determining a transmitting signal of each array element by using the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signal, and transmitting the transmitting signal based on MIMO sonar.
In one embodiment, the processor when executing the computer program further performs the steps of: and carrying out weighted summation processing on the transmission beam forming weight vector and the target orthogonal linear frequency modulation signal to determine the transmission signal of each array element, and transmitting the transmission signal based on MIMO sonar.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, implements the method of any of the above embodiments.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims (10)

1. A method for determining a sounding communication integrated transmission signal based on MIMO sonar, the method comprising:
processing target data to be transmitted according to index modulation parameters and phase modulation parameters to obtain a target index number and a target phase symbol, wherein the target index number is an index number of a target waveform corresponding to the target data, and the target phase symbol is a phase symbol corresponding to the target waveform;
determining a transmitting beam forming weight vector according to the target characteristic information, the target index number and the target phase symbol;
and determining the transmitting signals of all array elements by using the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signals, transmitting the transmitting signals based on MIMO sonar, wherein a main lobe of a beam formed by the transmitting signals is used for realizing a detection function, and a side lobe of the beam formed by the transmitting signals is used for transmitting the target data.
2. The method of claim 1, wherein the target data comprises first data and second data, and wherein the processing the target data to be transmitted according to the index modulation parameter and the phase modulation parameter to obtain the target index number and the target phase symbol comprises:
performing serial-parallel conversion processing and binary conversion processing on the first data according to the index modulation parameters to obtain the target index number;
and carrying out serial-parallel conversion processing and binary conversion processing on the second data according to the phase modulation parameters so as to obtain the target phase symbol.
3. The method of claim 2, wherein the first data is data embedded by index modulation and the second data is data embedded by phase modulation.
4. A method according to any one of claims 1 to 3, wherein said determining a transmit beamforming weight vector from target characteristic information, said target index number and said target phase symbol comprises:
determining a target detection direction and a target communication direction according to the target characteristic information;
the transmit beamforming weight vector is determined based on a target optimization algorithm, the target detection direction, the target communication direction, the target index number, and the target phase symbol.
5. The method of claim 1, wherein determining the transmit signal for each element using the transmit beamforming weight vector and the target quadrature chirp signal and transmitting the transmit signal based on MIMO sonar comprises:
determining the target orthogonal linear frequency modulation signal according to the detection communication integrated system parameters and the target characteristic information;
and determining the transmitting signals of each array element by utilizing the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signal, and transmitting the transmitting signals based on MIMO sonar.
6. The method of claim 5, wherein determining the transmit signal for each element using the transmit beamforming weight vector and the target quadrature chirp signal and transmitting the transmit signal based on MIMO sonar comprises:
and carrying out weighted summation processing on the transmission beam forming weight vector and the target orthogonal linear frequency modulation signal to determine the transmission signal of each array element, and transmitting the transmission signal based on MIMO sonar.
7. A MIMO sonar-based detection communication integrated transmission signal determining apparatus, the apparatus comprising:
the execution module is used for processing target data to be transmitted according to the index modulation parameters and the phase modulation parameters to obtain a target index number and a target phase symbol, wherein the target index number is an index number of a target waveform corresponding to the target data, and the target phase symbol is a phase symbol corresponding to the target waveform;
the first determining module is used for determining a transmitting beam forming weight vector according to the target characteristic information, the target index number and the target phase symbol;
and the second determining module is used for determining the transmitting signals of all array elements by utilizing the transmitting beam forming weight vector and the target orthogonal linear frequency modulation signals, transmitting the transmitting signals based on MIMO sonar, wherein a main lobe of a beam formed by the transmitting signals is used for realizing a detection function, and a side lobe of the beam formed by the transmitting signals is used for transmitting the target data.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
CN202410177108.1A 2024-02-08 2024-02-08 Detection communication integrated transmitting signal determining method and device based on MIMO sonar Pending CN117749233A (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101420068A (en) * 2008-11-25 2009-04-29 电子科技大学 Distribution method for sensor antenna array
CN101471734A (en) * 2007-12-28 2009-07-01 中国科学院声学研究所 Multi-transmission multi-receive acoustic positioning network system and positioning method thereof
CN106324602A (en) * 2016-07-29 2017-01-11 中国科学院声学研究所 MIMO sonar system
CN115085838A (en) * 2022-04-22 2022-09-20 哈尔滨工程大学 Underwater acoustic detection and communication integrated waveform verification method based on virtual transmitting array
WO2022237927A1 (en) * 2021-05-13 2022-11-17 Christian-Albrechts-Universität Zu Kiel Sonar method for detecting and/or determining the position and/or speed of objects underwater in a specified region, sonar assembly, and receiving unit
CN116599602A (en) * 2023-07-18 2023-08-15 北京航天华腾科技有限公司 Low-energy-consumption long-distance sonar communication system for ocean monitoring

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101471734A (en) * 2007-12-28 2009-07-01 中国科学院声学研究所 Multi-transmission multi-receive acoustic positioning network system and positioning method thereof
CN101420068A (en) * 2008-11-25 2009-04-29 电子科技大学 Distribution method for sensor antenna array
CN106324602A (en) * 2016-07-29 2017-01-11 中国科学院声学研究所 MIMO sonar system
WO2022237927A1 (en) * 2021-05-13 2022-11-17 Christian-Albrechts-Universität Zu Kiel Sonar method for detecting and/or determining the position and/or speed of objects underwater in a specified region, sonar assembly, and receiving unit
CN115085838A (en) * 2022-04-22 2022-09-20 哈尔滨工程大学 Underwater acoustic detection and communication integrated waveform verification method based on virtual transmitting array
CN116599602A (en) * 2023-07-18 2023-08-15 北京航天华腾科技有限公司 Low-energy-consumption long-distance sonar communication system for ocean monitoring

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