Parameter association method and device for communication and perception integration

Abstract

The application discloses a parameter correlation method and device for communication and perception integration, and relates to the technical field of wireless communication. The method comprises the following steps: obtaining echo signals of a plurality of perception targets; determining speed parameter values and / or distance parameter values of the plurality of perception targets by using a parameter estimation algorithm based on the echo signals; obtaining DOA parameter values corresponding to the plurality of perception targets by using a DOA estimation algorithm based on the echo signals; and for each perception target, correlating the speed parameter values and / or the distance parameter values corresponding to the perception target with the DOA parameter values based on a parameter correlation scheme to obtain a parameter value set corresponding to the perception target. The application can solve the problems of low parameter correlation accuracy, complex deployment architecture and high correlation operation complexity in the prior art.

Description

Technical Field

[0001] This application relates to the field of wireless communication technology, and in particular to a parameter association method and apparatus for communication and sensing integration. Background Technology

[0002] Integrated communication and sensing technology is an emerging technology with significant application prospects in future wireless systems. By sharing communication and sensing functions in terms of spectrum, hardware, and signal waveforms, it enables wireless systems to simultaneously possess wireless communication and target perception capabilities. Compared to traditional systems, this technology offers fusion and cooperation gains. The technology is divided into active and passive sensing. Passive sensing involves multiple parameters, such as direction of arrival (DOA), velocity, and distance. However, the correlation between these parameters is weak in multi-target localization, requiring accurate identification and correlation.

[0003] Currently, there are few patent studies on parameter correlation schemes, and most schemes are only part of a larger technology. Invention application number 202110556012.2 introduces a radar channel estimation method based on a single transceiver antenna, utilizing the same system to achieve communication and radar functions. The DOA-channel parameter correlation scheme involves constructing a signal matrix, eigenvalue decomposition, and least squares. However, this scheme has a complex system architecture, high correlation operation complexity, and the simultaneous performance of channel parameter estimation and correlation limits its applicability in specific scenarios. Therefore, there is an urgent need for an efficient and flexible parameter correlation method to overcome the shortcomings of existing technologies. Summary of the Invention

[0004] The purpose of this application is to provide a parameter association method and device for integrated communication and sensing, which aims to solve the problems of weak parameter association, complex system architecture, and high complexity of association operations in the prior art.

[0005] To achieve the above objectives, this application provides the following solution: Firstly, this application provides a parameter association method for integrated communication and sensing, the parameter association method comprising: Acquire echo signals from several sensing targets.

[0006] Based on the echo signal, a parameter estimation algorithm is used to determine the sensing parameter values ​​of the plurality of sensing targets; the sensing parameters include velocity parameter values ​​and / or distance parameter values.

[0007] Based on the echo signal, the DOA estimation algorithm is used to obtain the DOA parameter values ​​corresponding to the plurality of sensing targets.

[0008] For each of the sensed targets, based on the parameter association scheme, the velocity parameter value and / or distance parameter value of the sensed target are associated with the DOA parameter value to obtain a set of parameter values ​​associated with the sensed target.

[0009] Optionally, after acquiring the echo signals from several sensed targets, the process may also include: The acquired echo signal is demodulated to obtain the demodulated echo signal; the echo signal is an orthogonal frequency division multiplexing signal emitted by several sensing targets.

[0010] Data compensation is performed on the echo signal based on the demodulated echo signal.

[0011] Based on the data-compensated echo signal, a data-compensated signal matrix is ​​constructed; the data-compensated signal matrix includes multiple signal sub-matrices, each of which is the signal matrix obtained after data compensation of the orthogonal frequency division multiplexing signal matrix emitted by each sensing target at each moment.

[0012] Optionally, based on the echo signal, a parameter estimation algorithm is used to determine the sensing parameter values ​​of the plurality of sensing targets, specifically including: Based on the echo signal, a parameter estimation algorithm is used to obtain the sensing parameter values ​​of the plurality of sensing targets; the distance parameter value and the velocity parameter value in the sensing parameters are correlated, and the sensing parameters are composed of a set of distance-velocity correlated parameter values.

[0013] Optionally, based on the echo signal, a parameter estimation algorithm is used to determine the sensing parameter values ​​of the plurality of sensing targets, specifically including: Based on the echo signal, a parameter estimation algorithm is used to obtain the sensing parameter values ​​of the plurality of sensing targets; the distance parameter value and the velocity parameter value in the sensing parameters are not related, and the sensing parameters are composed of mutually independent distance parameter value and velocity parameter value.

[0014] Optionally, based on the echo signal, a parameter estimation algorithm is used to determine the sensing parameter values ​​of the plurality of sensing targets, specifically including: Based on the echo signal, the sensing parameter values ​​of the plurality of sensing targets are obtained through a parameter estimation algorithm; the sensing parameters are composed of distance parameter values ​​or velocity parameter values.

[0015] Optionally, for each of the sensed targets, based on a parameter association scheme, the velocity parameter value and / or distance parameter value of the sensed target are associated with the DOA parameter value to obtain a set of parameter values ​​associated with the sensed target, specifically including: When the sensing parameters consist of a set of distance-velocity associated parameter values, the set of distance-velocity associated parameter values ​​is associated with the DOA parameter values ​​based on association scheme one, association scheme two, or association scheme three to obtain the set of distance-velocity-DOA associated parameter values ​​associated with the sensing target.

[0016] When the sensing parameters consist of independent distance and velocity parameter values, based on association scheme two and association scheme three, the distance and velocity parameter values ​​are associated with the DOA parameter values ​​respectively, to obtain the distance-DOA associated parameter value set and the velocity-DOA associated parameter value set after the sensing target is associated.

[0017] Based on the joint deployment of association scheme two and association scheme three, the distance-DOA association parameter value set and the velocity-DOA association parameter value set are associated to obtain the distance-velocity-DOA association parameter value set corresponding to the perceived target.

[0018] When the sensing parameters consist of distance parameter values ​​or velocity parameter values, the distance parameter values ​​or velocity parameter values ​​are associated with the DOA parameter values ​​based on association scheme two or association scheme three to obtain the set of parameter values ​​associated with the sensing target.

[0019] Optionally, the first association scheme specifically includes: A first steering vector set is constructed based on the DOA parameter values; the first steering vector set consists of several receiving antenna arrays with corresponding DOA parameter values. The guiding vector is formed at that time.

[0020] Establish an association matrix corresponding to each set of guiding vectors based on the first set of guiding vectors.

[0021] The set of distance-velocity correlation parameter values ​​is input into the correlation matrix for matching and correlation to obtain the updated correlation variables.

[0022] Based on the updated associated variables, the distance-velocity associated parameter value set is associated with the DOA parameter value to obtain the parameter value set associated with the perceived target.

[0023] Optionally, the second association scheme specifically includes: A second set of steering vectors is constructed based on the DOA parameter values; the second set of steering vectors is formed by a receiving antenna array corresponding to a DOA parameter value of... The guiding vector is formed at that time.

[0024] Establish an association matrix corresponding to each set of guiding vectors based on the second set of guiding vectors.

[0025] The distance parameter values ​​are input into the association matrix for matching and association, and the updated distance association variables are obtained respectively.

[0026] Based on the updated distance-related variable, the distance parameter value is associated with the DOA parameter value to obtain the distance-DOA associated parameter value set of the perceived target.

[0027] Optionally, the third association scheme specifically includes: A third steering vector set is constructed based on the DOA parameter values; the third steering vector set is formed by a receiving antenna array corresponding to a DOA parameter value of... The guiding vector is formed at that time.

[0028] Based on the third set of guiding vectors, establish an association matrix corresponding to each set of guiding vectors.

[0029] The speed parameter values ​​are input into the correlation matrix for matching and correlation to obtain the updated speed correlation variables.

[0030] Based on the updated velocity-related variable, the velocity parameter value is associated with the DOA parameter value to obtain the final velocity-DOA associated parameter value set of the perceived target.

[0031] Secondly, this application provides a parameter association device for integrated communication and sensing, the parameter association device comprising: The communication module is used to acquire echo signals from several sensing targets.

[0032] The first sensing module is used to determine the sensing parameter values ​​of the plurality of sensing targets based on the echo signal and by using a parameter estimation algorithm; the sensing parameters include velocity parameter values ​​and / or distance parameter values.

[0033] The second sensing module is used to obtain the DOA parameter values ​​corresponding to the plurality of sensing targets based on the echo signal and using a DOA estimation algorithm.

[0034] The association module is used to associate the velocity parameter value and / or distance parameter value of each sensed target with the DOA parameter value based on the parameter association scheme, so as to obtain a set of parameter values ​​associated with the sensed target.

[0035] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application provides a parameter association method and apparatus for integrated communication and sensing. The method includes acquiring echo signals from several sensing targets; determining velocity parameter values ​​and / or distance parameter values ​​for the sensing targets based on the echo signals using a parameter estimation algorithm; obtaining DOA parameter values ​​corresponding to the sensing targets based on the echo signals using a DOA estimation algorithm; and for each sensing target, associating one or more parameters from the velocity and distance parameter values ​​corresponding to the sensing target with the DOA parameter values ​​based on a parameter association scheme to obtain a set of parameter values ​​associated with the sensing target. This application can solve the problems of weak parameter association, complex system architecture, and high complexity of association operations in existing technologies. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a flowchart illustrating a parameter association method for integrated communication and sensing, provided as an embodiment of this application.

[0038] Figure 2 The diagram shows the overall framework and modules provided in Embodiment 1 of this application.

[0039] Figure 3 This is a schematic diagram of the correlation variable update and parameter matching provided in Embodiment 1 of this application.

[0040] Figure 4 This is a schematic diagram of the module interface relationship corresponding to the first case provided in Embodiment 1 of this application.

[0041] Figure 5 This is a schematic diagram of the module interface relationship corresponding to the second case provided in Embodiment 1 of this application.

[0042] Figure 6 This is a schematic diagram of the module interface relationship corresponding to the third case provided in Embodiment 1 of this application.

[0043] Figure 7 The diagram shows the overall logic judgment and associated output provided in Embodiment 1 of this application.

[0044] Figure 8 This is a functional module diagram of a parameter association device for integrated communication and sensing provided in Embodiment 2 of this application. Detailed Implementation

[0045] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0046] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0047] Example 1 like Figure 1 As shown, this embodiment provides a parameter association method for integrated communication and sensing, including the following steps: Step 101: Acquire echo signals from several sensing targets.

[0048] Step 102: Based on the echo signal, a parameter estimation algorithm is used to determine the sensing parameter values ​​of the plurality of sensing targets; the sensing parameters include velocity parameter values ​​and / or distance parameter values.

[0049] Step 103: Based on the echo signal, the DOA estimation algorithm is used to obtain the DOA parameter values ​​corresponding to the plurality of sensing targets.

[0050] Step 104: For each of the sensed targets, based on the parameter association scheme, associate the velocity parameter value and / or distance parameter value of the sensed target with the DOA parameter value to obtain a set of parameter values ​​associated with the sensed target.

[0051] In some embodiments of this example, before performing step 101, the following may be included: System Environment Setup: This implementation considers an uplink Orthogonal Frequency Division Multiplexing (OFDM) communication system, in which a multi-antenna array is deployed on the base station side, and user terminals (UTs) within the system transmit data within the transmission time interval. One OFDM signal is sent to the base station, among which The value is an integer greater than 1; the base station-side multi-antenna array can be any multi-antenna array structure, such as classic antenna array structures: Uniform Linear Array (ULA), Uniform Planar Array (UPA), and Uniform Circular Array (UCA), etc.

[0052] Specifically, depending on the different functional modules executed in this solution, such as Figure 2 As shown, this scheme divides the base station functional modules into a communication module, a sensing module (first sensing module and second sensing module), and an association module.

[0053] After executing step 101, the process also includes: Data compensation is performed on the acquired echo signal, specifically as follows: The acquired echo signal is demodulated; the echo signal is an orthogonal frequency division multiplexed signal emitted by several sensing targets.

[0054] Data compensation is performed on the echo signal based on the demodulated data.

[0055] Based on the data-compensated echo signal, a data-compensated signal matrix is ​​constructed; the data-compensated signal matrix includes multiple signal sub-matrices, each of which is the signal matrix obtained after data compensation of the orthogonal frequency division multiplexing signal matrix emitted by each sensing target at each moment.

[0056] Specifically, the base station-side communication module demodulates the echo signal and shares the resulting demodulated data with the echo signal to the sensing module. The sensing module then performs data compensation on the echo signal and constructs a matrix. The specific steps are as follows: 1.1) Base station receives OFDM signals The communication module demodulates the data and then outputs the corresponding demodulated data. Shared to the sensing module, where Indicates the first OFDM sampled values ​​received by all antennas of the base station during the duration of one OFDM symbol; This indicates the corresponding demodulated data, where Corresponding to the The first OFDM symbol Data obtained by demodulation on each subcarrier; This refers to the number of antennas at the receiving base station. This refers to the number of subcarriers in the OFDM system. The uplink communication process at the base station can be implemented using the Demodulation Reference Signal (DMRS), Synchronization Signal Block (SSB), and data payload as defined in the current 3GPP standard.

[0057] 1.2) The sensing module uses the demodulated data and echo signal shared by the communication module. Perform data compensation.

[0058] The data compensation process specifically involves the sensing module demodulating the communication data shared by the communication module. As reference (or pilot) signal data, the sensing module uses the echo signal Perform data compensation to obtain ,in Represents the Inverse Discrete Fourier Transform (IDFT) matrix. .

[0059] 1.3) Further, the sensing module constructs a matrix based on the received signal after data compensation. ,in Corresponding to the The signal matrix corresponding to each OFDM symbol, after data compensation.

[0060] In some embodiments of this example, when performing step 102, the specific steps may be as follows: Based on the echo signal, a parameter estimation algorithm is used to obtain the sensing parameter values ​​of the plurality of sensing targets; the distance parameter value and the velocity parameter value in the sensing parameters are correlated, and the sensing parameters are composed of a set of distance-velocity correlated parameter values.

[0061] Based on the echo signal, a parameter estimation algorithm is used to obtain the sensing parameter values ​​of the plurality of sensing targets; the distance parameter value and the velocity parameter value in the sensing parameters are not related, and the sensing parameters are composed of mutually independent distance parameter value and velocity parameter value.

[0062] Based on the echo signal, the sensing parameter values ​​of the plurality of sensing targets are obtained through a parameter estimation algorithm; the sensing parameters are composed of distance parameter values ​​or velocity parameter values.

[0063] Specifically, the sensing module estimates distance and velocity parameters, and uses an arbitrary parameter estimation algorithm to estimate the corresponding values ​​based on data shared by the communication module. The distance and / or velocity parameters of a perceived target.

[0064] The parameter estimation process here is not limited to a specific estimation algorithm. This embodiment provides an example of estimating joint distance and velocity parameters through two-dimensional DFT transformation: for several matrices obtained after data compensation at the sensing module... Extract the first element from each matrix. OK Constructing a matrix By analyzing the matrix Perform a two-dimensional DFT transformation to obtain Then locate Center front By analyzing the matrix coordinates of the peak values ​​from largest to smallest, the corresponding distance-velocity parameter values ​​are estimated, thus obtaining the corresponding... A set of associated distance-velocity parameter values ​​for each perceived target. .

[0065] Specifically, the parameter estimation process in this embodiment can be divided into three cases: obtaining a set of associated distance and velocity parameter values ​​through parameter estimation, obtaining mutually independent distance and velocity parameter values ​​through parameter estimation, and single estimation of distance or velocity parameter values.

[0066] The following is a detailed discussion of the outputs of different estimation algorithms. Specifically, the correlations described below refer to the matching relationships between parameters: taking distance and velocity parameter values ​​as an example, the correlated parameters refer to the matching relationships between the set of distance parameter values. With the set of velocity parameter values It can be written as follows The form. That is, for any and In the case of non-correlated parameters, the two output parameters are independent of each other, and what is obtained is only a set of the two parameter values, but cannot be mapped to the same target.

[0067] 2.1) First parameter output scenario: In this case, the sensing module estimates the distance and velocity parameters, and the estimated two parameters are correlated, corresponding to the output set of distance-velocity correlated parameter values. .

[0068] 2.2) Second parameter output scenario: In this case, the sensing module estimates two parameters: distance and velocity. However, these two estimated parameters are not correlated, and the corresponding output... Distance parameter value corresponding to each perceived target With speed parameter value And the two parameters are independent of each other.

[0069] 2.3) Third parameter output scenario: In this case, the sensing module performs parameter estimation to obtain a single distance or velocity parameter value, and outputs the corresponding value. Distance parameter value corresponding to each perceived target or speed parameter value .

[0070] The perception module will construct a matrix. The parameters to be associated (DOA parameter value, and at least one of velocity parameter value and distance parameter value) and the association status that can be established at this time are shared with the association module. The above three parameter output situations can be specifically divided into the following three cases: 1) When the sensing parameters are composed of a set of distance-velocity associated parameter values, the set of distance-velocity associated parameter values ​​is associated with the DOA parameter values ​​based on association scheme one, association scheme two, or association scheme three to obtain the set of distance-velocity-DOA associated parameter values ​​associated with the sensing target.

[0071] Specifically, corresponding to the first parameter output scenario mentioned above, the sensing module outputs two types of parameters to be correlated: a set of distance-velocity correlation parameter values. With DOA parameter value The perception module feeds back to the association module the status of whether an association can be established: Through association schemes one, two, and three at the association module, a complete parameter association relationship can be established, ultimately outputting a set of associated parameter values. .

[0072] 2) When the sensing parameters consist of mutually independent distance parameter values ​​and velocity parameter values, based on association scheme two or association scheme three, the distance parameter values ​​and the velocity parameter values ​​are respectively associated with the DOA parameter values ​​to obtain the distance-DOA associated parameter value set and the velocity-DOA associated parameter value set after the sensing target is associated.

[0073] Based on the joint deployment of association scheme two and association scheme three, the distance-DOA association parameter value set and the velocity-DOA association parameter value set are associated to obtain the distance-velocity-DOA association parameter value set of the perceived target.

[0074] Specifically, corresponding to the second parameter output scenario mentioned above, the perception module outputs three parameters to be associated: DOA parameter value. Independent distance parameter values With speed parameter value The sensing module feeds back to the association module the status of the association at this point: 1) Distance-DOA association and speed-DOA association can be established separately through association scheme two and scheme three in the association module, respectively, and the corresponding sets of association parameter values ​​are output. and 2) By jointly implementing the association schemes two and three in the association module, a complete set of association parameter values ​​can be finally output. .

[0075] 3) When the sensing parameters consist of distance parameter values ​​or velocity parameter values, based on association scheme two or association scheme three, the distance parameter values ​​or the velocity parameter values ​​are associated with the DOA parameter values ​​to obtain the set of parameter values ​​associated with the sensing target. Specifically, corresponding to the third parameter output scenario mentioned above, the perception module outputs two parameters to be associated: the DOA set. Distance parameter value set or a set of velocity parameter values The sensing module feeds back to the association module the status of the association that can be established: Distance-DOA or speed-DOA associations can be established independently using association scheme two or three at the association module, respectively, with corresponding output sets of association parameter values. or .

[0076] In some embodiments of this example, when performing step 103, the specific steps may be as follows: Sensing Parameter Estimation and Sharing: The sensing module estimates the distance, velocity, and DOA parameters based on the data shared by the communication module, obtaining the results. The parameters to be associated for each perceived target are: velocity and / or distance parameter values ​​and DOA parameter values.

[0077] Furthermore, the perception module will construct a matrix. The parameters to be associated and the associations that can be established at this time are shared to the association module.

[0078] The perception module uses data shared with the communication module to perform DOA estimation using any DOA estimation algorithm, and obtains the result. The set of DOAs corresponding to each perceived target .

[0079] The estimation algorithm used in the DOA estimation process can be any DOA estimation algorithm, such as the classic Multiple Signal Classification (MUSIC) algorithm and the Estimating Signal Parameter via Rotational Invariance Techniques (ESPRIT) algorithm. Taking the MUSIC algorithm as an example, the sensing module first calculates the corresponding covariance matrix based on the echo signal, and then performs eigenvalue decomposition on the obtained covariance matrix to obtain the corresponding eigenvalues ​​and eigenvectors. Then, the eigenvalues ​​are selected in descending order. The remaining eigenvalues ​​are used to construct a signal subspace, and their corresponding eigenvectors are used to construct a noise subspace. A MUSIC spectrum function is then constructed based on the obtained noise subspace. The peak positions in the MUSIC spectrum function are then located within the scanning angle range, and the first peak position is selected. The angle value corresponding to each peak is used as Each perceived target corresponds to a DOA estimate.

[0080] In this embodiment, it is assumed that the above-described DOA estimation process is independent of the estimation processes of other parameters in the sensing module, and therefore the final output of the DOA estimation process is... The set of DOAs corresponding to each perceived target There is no matching correlation between the parameter set obtained from the estimation process of other parameters in the perception module and the parameter set obtained from the estimation process of other parameters.

[0081] In some embodiments of this example, when performing step 104, the specific steps may be as follows: The association module, based on the construction matrix shared by the perception module, the parameters to be associated, and the associations that can be established at this time, further performs association matching through three parameter association schemes based on the associations that can be established at this time, and finally outputs the set of associated parameter values.

[0082] Specifically, such as Figure 3 As shown, the association module initializes and defines association variables. As a set of DOA estimates With the The optimal association index between the estimated parameters to be associated for each path.

[0083] The associated variable provides an association matching relationship, which is then achieved through the following association scheme. renew. Specifically, Indicates for the first The velocity and / or distance parameter values ​​to be associated obtained from path estimation, and their corresponding matching DOA parameter values ​​in the DOA parameter value set. The index value in the table is used to achieve the final output of the set of matching parameter values. For example... Figure 3 As shown, the associated module outputs For related variables in , indicating the first One parameter to be associated Corresponding related variables After passing through the associated module, the value is assigned. That is to say, the first The DOA parameter value matched by each parameter to be associated is The first in Each element.

[0084] The specific explanations for the three parameter association schemes mentioned above are as follows: 3.1) Association Scheme 1: Input the set of associated speed-distance parameter values DOA parameter value Related variables Output the set of associated parameter values .

[0085] For association scheme one, the association module first determines the association based on the DOA parameter value. Build as follows: .

[0086] in This indicates that the DOA at the receiving antenna array is... The guiding vector at time , where: .

[0087] For the first association scheme, the perception module establishes connections with each... Corresponding correlation matrix as follows: .

[0088] in represent 3D IDFT matrix, Represents conjugate transpose. This indicates the operation of taking the real part.

[0089] For the distance and velocity correlation parameters to be associated Substitute into the correlation matrix Perform matching and association to obtain the updated association variables. : .

[0090] Set of parameter values ​​to be associated For example, its corresponding related variables The update process is as follows: The parameter value set... Substitute the row and column indices into the adjacency matrix ,get matrix elements .Will Updated to this The correlation matrix corresponding to the element with the largest absolute value among the matrix elements. Index: .

[0091] The parameter association process here can be interpreted as: ... With parameter value set Related, and because It is determined by the DOA parameter value This is constructed from the parameters to be associated. With DOA parameter value Related.

[0092] Based on the updated association variables The distance-velocity correlation parameter set With DOA parameter value set Perform correlation; thereby correlating the final output speed-distance-DOA correlation parameter value set of Scheme 1. .

[0093] 3.2) Association Scheme Two: Input Distance Parameter Value DOA parameter value Related variables Output the set of associated parameter values .

[0094] For the second association scheme, the association module first determines the association based on the DOA parameter value set. Build as follows: .

[0095] Furthermore, the association module shares the information obtained from the perception module. Process the data, extract the component corresponding to the g-th OFDM symbol, and update it to... To ensure that the building matrix used has a higher SNR, the OFDM symbol index g should be appropriately selected here.

[0096] For the second association scheme, the association module further establishes connections with each Corresponding correlation matrix : .

[0097] Then the distance parameter value to be associated Substitute into the correlation matrix established at this time Perform matching and association to obtain the updated association variables. : .

[0098] Parameters to be associated For example, the corresponding related variables The update process is as follows: The parameters to be associated... Substituted as an index into different association matrices In the middle, we get element .Will Updated to this The correlation matrix corresponding to the element with the largest absolute value among the matrix elements. The index.

[0099] Based on the updated association variables , distance parameter value With DOA parameter value Association; thus, the final distance-DOA association parameter value set is output from the association scheme two. .

[0100] 3.3) Associated Scheme 3: Input speed parameter value DOA parameter value Related variables Output the set of associated parameter values .

[0101] For association scheme three, the association module first determines the association based on the DOA parameter value set. Build as follows: .

[0102] Furthermore, the association module inputs data to the original sensing module. Process and update it to To ensure a higher signal-to-noise ratio for the construction matrix used, the index should be appropriately selected here. .

[0103] Furthermore, for the third related scheme, the perception module establishes connections with each Corresponding correlation matrix as follows: .

[0104] Furthermore, the speed parameter values ​​to be correlated Substitute into the correlation matrix established at this time Perform matching and association to obtain the updated association variables. as follows: .

[0105] Parameters to be associated For example, the corresponding related variables The update process is as follows: The parameters to be associated... Substituted as an index into different association matrices In the middle, we get element .Will Updated to this The correlation matrix corresponding to the element with the largest absolute value among the matrix elements. The index.

[0106] Based on the updated association variables , speed parameter value With DOA parameter value set Correlation; thus, the final velocity-DOA correlation parameter value set of the correlation scheme three output. .

[0107] Therefore, the association module, based on the association information shared by the perception module and the available associations at this time, constructs a matrix. Parameter association is achieved through three association schemes with the parameter to be associated: 4.1) As Figure 4 As shown, corresponding to the first parameter output scenario, the association module obtains the following association information: a complete parameter association relationship can be established through any of the three association schemes in the association module, ultimately outputting a set of associated parameter values. .

[0108] (1) Application parameter association scheme one: At this time, the distance and speed parameter values ​​output by the sensing module are matched and correspond, so they can be directly substituted into the solution to complete the association with the corresponding DOA parameter values.

[0109] (2) Applying Associated Scheme 2 or Associated Scheme 3: Associated Scheme 2 or Associated Scheme 3 does not require both of the distance-velocity parameter values ​​that are already associated to be substituted into the solution. Instead, it can be substituted into any one of the distance or velocity parameter values ​​for the solution. However, since the distance parameter value and the velocity parameter value are already associated, the DOA parameter value to be associated is matched with any of the associated parameters through Associated Scheme 2 or Associated Scheme 3, thereby completing the final associated output.

[0110] At this point, in the corresponding association module, selecting any of the three association schemes will achieve the output of association parameters. .

[0111] 4.2) As Figure 5 As shown, corresponding to the second parameter output situation, the association module can establish the following association situations: (1) By using association scheme two or association scheme three alone, the association matching between the DOA parameter value and the single distance parameter value or speed parameter value can be achieved; (2) By using the joint deployment of association scheme two and association scheme three, the complete association of distance, speed and DOA parameters can be achieved.

[0112] (1) The first association scheme requires the set of distance-velocity parameter values ​​for association matching to be substituted, which does not meet the requirements at this time.

[0113] (2) Schemes 2 and 3 only require the substitution of either distance or speed parameter values ​​for solving the problem. In this case, the DOA parameter value can be associated with the substituted distance or speed parameter value.

[0114] (3) It is worth noting that in this case, DOA can be used as a bridge to achieve complete correlation output. For example, first, correlation scheme two can be used to correlate DOA with the speed parameter value, and then correlation scheme three can be used to correlate DOA with the distance parameter value, thereby completing the final correlation output. There is no restriction on the order of scheme two and scheme three here.

[0115] 4.3) For example Figure 6 As shown, corresponding to the third parameter output situation in 2.3 above, the association module obtains the following association situation: the DOA parameter value can be matched with the distance parameter value or the speed parameter value through association scheme two or association scheme three.

[0116] 1) The first association scheme requires the substitution of the distance-velocity parameter value set for association matching, so it is not applicable to this case.

[0117] 2) If the correlation scheme two or three only requires substituting either the distance or speed parameter value for the solution, then the correlation between the DOA parameter value and the distance or speed parameter value can be achieved through the correlation scheme two or three.

[0118] Based on the above three scenarios, it can be seen that the overall logical judgment and correlation output of the final correlated data pair output by the correlation module are as follows: Figure 7 As shown.

[0119] As can be seen, the specific design and implementation process of the three parameter association schemes in this embodiment is as follows: For multi-target sensing scenarios in integrated communication and sensing technology, it is necessary to associate different parameters belonging to the same sensing target to establish a complete parameter set. For the parameters to be associated: velocity and / or distance parameter values, and DOA parameter values, this application proposes three parameter association schemes for selection: 1) Association Scheme 1: A complete association scheme with high complexity. Applicable parameter input conditions: a set of associated speed-distance parameter values ​​and DOA parameter values.

[0120] 2) Association Scheme 2: A simplified association scheme with lower complexity. Applicable parameter input scenarios: a single distance parameter value or a set of associated speed-distance parameter values, and DOA parameter values.

[0121] 3) Association Scheme 3: A simplified association scheme with lower complexity. Applicable parameter input scenarios: a single speed parameter value or a set of associated speed-distance parameter values, and DOA parameter values.

[0122] The key to designing each parameter association scheme lies in: 1) constructing the association matrix; 2) the specific association process.

[0123] Furthermore, the parameter association mechanism adapted to multiple output conditions is designed as follows: In the design of the above association schemes, the three parameter association schemes are respectively applicable to different output conditions of the parameters to be associated at the sensing module; on the basis of the three parameter association schemes, this application provides an association mechanism with a higher degree of freedom, which combines the three parameter association schemes to achieve different parameter association effects for different sensing parameter output conditions.

[0124] 1) The sensing module outputs three types of parameters to be associated, namely the set of associated distance-velocity parameter values ​​and the set of DOA parameter values. At this time, the association can be established as follows: a complete association of speed-distance-DOA parameter values ​​can be established through association schemes one, two and three.

[0125] 2) The sensing module outputs three parameters to be associated, namely the independent DOA parameter value, distance parameter value and speed parameter value. At this time, the following association situations can be established: 1) The distance-DOA association and the speed-DOA association can be realized by association scheme two and association scheme three respectively; 2) The complete speed-distance-DOA association can be realized by the joint association of scheme two and three.

[0126] 3) The sensing module outputs two types of parameters to be associated, namely DOA parameter value and distance parameter value or speed parameter value. At this time, the following association situations can be established: distance-DOA association and speed-DOA association can be established separately through association scheme two and association scheme three, respectively.

[0127] The key to this parameter association mechanism is: 1) an association processing flow applicable to different sensing parameter output conditions and the corresponding set of associated parameter values ​​output; 2) sensing parameters can be obtained through any parameter estimation algorithm.

[0128] Example 2 like Figure 8 As shown, this embodiment provides a parameter association device for integrated communication and sensing, the parameter association device comprising: The communication module is used to acquire echo signals from several sensing targets.

[0129] The first sensing module is used to determine the sensing parameter values ​​of the plurality of sensing targets based on the echo signal and by using a parameter estimation algorithm; the sensing parameters include velocity parameter values ​​and / or distance parameter values.

[0130] The second sensing module is used to obtain the DOA parameter values ​​corresponding to the plurality of sensing targets based on the echo signal and using a DOA estimation algorithm.

[0131] The association module is used to associate the velocity parameter value and / or distance parameter value of each sensed target with the DOA parameter value based on the parameter association scheme, so as to obtain a set of parameter values ​​associated with the sensed target.

[0132] In summary, this application has the following technical effects: 1. Higher algorithm flexibility: In this application, no additional array structure needs to be built on the base station side, and the proposed parameter association algorithm is applicable to a variety of antenna array structures; and in this application, the parameter association step is independent of the parameter estimation step, so this application does not limit any parameter estimation algorithm to obtain the corresponding parameter estimate value.

[0133] 2. Lower algorithm complexity: This application separates the parameter association step from the parameter estimation step and provides three association schemes for different estimated parameter outputs. Among them, association scheme two and association scheme three are simplified versions based on association scheme one, which further reduces the computational complexity.

[0134] 3. Wider range of applications: The parameter association step in this application is independent of the parameter estimation step. Therefore, this application does not limit the output of estimated parameters obtained by any parameter estimation algorithm. This application considers a variety of estimated parameter outputs and designs different corresponding association schemes under different conditions.

[0135] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0136] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A parameter association method for integrated communication and sensing, characterized in that, The parameter association method includes: Acquire echo signals from several sensing targets; Based on the echo signal, a parameter estimation algorithm is used to determine the sensing parameter values ​​of the plurality of sensing targets; the sensing parameters include velocity parameter values ​​and / or distance parameter values; Based on the echo signal, the DOA estimation algorithm is used to obtain the DOA parameter values ​​corresponding to the plurality of sensing targets; For each of the sensed targets, based on the parameter association scheme, the velocity parameter value and / or distance parameter value of the sensed target are associated with the DOA parameter value to obtain a set of parameter values ​​associated with the sensed target; For each of the sensed targets, based on a parameter association scheme, the velocity parameter value and / or distance parameter value of the sensed target are associated with the DOA parameter value to obtain a set of parameter values ​​associated with the sensed target, specifically including: When the sensing parameters are composed of a set of distance-velocity associated parameter values, the set of distance-velocity associated parameter values ​​is associated with the DOA parameter values ​​based on association scheme one, association scheme two, or association scheme three to obtain the set of distance-velocity-DOA associated parameter values ​​associated with the sensing target. When the sensing parameters consist of independent distance and velocity parameter values, based on association scheme two and association scheme three, the distance and velocity parameter values ​​are respectively associated with the DOA parameter values ​​to obtain the distance-DOA associated parameter value set and the velocity-DOA associated parameter value set of the sensing target; Based on the joint deployment of association scheme two and association scheme three, the distance-DOA association parameter value set and the velocity-DOA association parameter value set are associated to obtain the distance-velocity-DOA association parameter value set corresponding to the perceived target; When the sensing parameters consist of distance parameter values ​​or velocity parameter values, the distance parameter values ​​or velocity parameter values ​​are associated with the DOA parameter values ​​based on association scheme two or association scheme three to obtain the set of parameter values ​​associated with the sensing target; The first association scheme specifically includes: A first steering vector set is constructed based on the DOA parameter values; the first steering vector set consists of several receiving antenna arrays with corresponding DOA parameter values. The guiding vector is formed at that time; Establish an association matrix corresponding to each set of guidance vectors based on the first set of guidance vectors; The set of distance-velocity correlation parameter values ​​is input into the correlation matrix for matching and correlation to obtain the updated correlation variables; Based on the updated associated variables, the set of distance-velocity associated parameter values ​​is associated with the DOA parameter values ​​to obtain the set of parameter values ​​associated with the perceived target; The second association scheme specifically includes: A second set of steering vectors is constructed based on the DOA parameter values; the second set of steering vectors is formed by a receiving antenna array corresponding to a DOA parameter value of... The guiding vector is formed at that time; Establish an association matrix corresponding to each set of guidance vectors based on the second set of guidance vectors; The distance parameter values ​​are input into the association matrix for matching and association, and the updated distance association variables are obtained respectively. Based on the updated distance association variable, the distance parameter value is associated with the DOA parameter value to obtain the distance-DOA association parameter value set of the perceived target; The third association scheme specifically includes: A third steering vector set is constructed based on the DOA parameter values; the third steering vector set is formed by a receiving antenna array corresponding to a DOA parameter value of... The guiding vector is formed at that time; Establish an association matrix corresponding to each set of guidance vectors based on the third set of guidance vectors; The speed parameter values ​​are input into the correlation matrix for matching and correlation to obtain the updated speed correlation variables; Based on the updated velocity-related variable, the velocity parameter value is associated with the DOA parameter value to obtain the final velocity-DOA associated parameter value set of the perceived target.

2. The parameter association method for integrated communication and sensing according to claim 1, characterized in that, After acquiring the echo signals from several sensing targets, the process also includes: The acquired echo signal is demodulated to obtain the demodulated echo signal; the echo signal is an orthogonal frequency division multiplexed signal emitted by several sensing targets; Data compensation is performed on the echo signal based on the demodulated echo signal; Based on the data-compensated echo signal, a data-compensated signal matrix is ​​constructed; the data-compensated signal matrix includes multiple signal sub-matrices, each of which is the signal matrix obtained after data compensation of the orthogonal frequency division multiplexing signal matrix emitted by each sensing target at each moment.

3. The parameter association method for integrated communication and sensing according to claim 2, characterized in that, Based on the echo signal, a parameter estimation algorithm is used to determine the sensing parameter values ​​of the plurality of sensing targets, specifically including: Based on the echo signal, a parameter estimation algorithm is used to obtain the sensing parameter values ​​of the plurality of sensing targets; the distance parameter value and the velocity parameter value in the sensing parameters are correlated, and the sensing parameters are composed of a set of distance-velocity correlated parameter values.

4. The parameter association method for integrated communication and sensing according to claim 3, characterized in that, Based on the echo signal, a parameter estimation algorithm is used to determine the sensing parameter values ​​of the plurality of sensing targets, specifically including: Based on the echo signal, a parameter estimation algorithm is used to obtain the sensing parameter values ​​of the plurality of sensing targets; the distance parameter value and the velocity parameter value in the sensing parameters are not related, and the sensing parameters are composed of mutually independent distance parameter value and velocity parameter value.

5. The parameter association method for integrated communication and sensing according to claim 4, characterized in that, Based on the echo signal, a parameter estimation algorithm is used to determine the sensing parameter values ​​of the plurality of sensing targets, specifically including: Based on the echo signal, the sensing parameter values ​​of the plurality of sensing targets are obtained through a parameter estimation algorithm; the sensing parameters are composed of distance parameter values ​​or velocity parameter values.

6. A parameter association device for integrated communication and sensing, used to implement the parameter association method for integrated communication and sensing as described in claim 1, characterized in that, The parameter association device includes: The communication module is used to acquire echo signals from several sensing targets; The first sensing module is used to determine the sensing parameter values ​​of the plurality of sensing targets based on the echo signal and using a parameter estimation algorithm; the sensing parameters include velocity parameter values ​​and / or distance parameter values; The second sensing module is used to obtain the DOA parameter values ​​corresponding to the plurality of sensing targets based on the echo signal and using a DOA estimation algorithm. The association module is used to associate the velocity parameter value and / or distance parameter value of each sensed target with the DOA parameter value based on the parameter association scheme, so as to obtain a set of parameter values ​​associated with the sensed target.

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