Wave position division method, system and equipment for phased array radar echo pulse signal and medium

Abstract

The invention discloses a beam position division method, system and device for phased array radar echo pulse signals and a medium, and relates to the field of beam position division, and the method comprises the steps: obtaining aliasing echo pulse signals of multiple types of phased array radars; constructing a pulse width prior knowledge base; the pulse width priori knowledge base comprises a plurality of pulse width typical value ranges of echo pulse signals; purifying and cleaning the aliasing echo pulse signal according to the pulse width typical value range to obtain echo pulse flows of phased array radars of various models; based on the pulse amplitude dynamic threshold, performing preliminary wave position division on the echo pulse streams of the phased array radars of various models to obtain a plurality of initial wave positions of the phased array radars of various models; and based on the characteristic parameters of the echo pulse signals, carrying out combination and secondary division on the plurality of initial wave potentials of the phased array radars of various models. According to the invention, the accuracy and efficiency of wave potential division are improved.

Description

Technical Field

[0001] The present application relates to the field of wave position division, and in particular to a wave position division method, system, device and medium for phased array radar echo pulse signals. Background Art

[0002] With the advancement of information technology, modern warfare has expanded from traditional ground, sea, and air operations to include electromagnetic space. Electromagnetic spectrum warfare (EMSW) is a crucial component of modern warfare, becoming a key tool for gaining information superiority, controlling the electromagnetic spectrum, and implementing precision strikes and defenses. Radar emitters play a central role in this domain, primarily determining enemy target type, parameters, and location by receiving radar echo pulse signals, providing crucial support for intelligence gathering, threat assessment, and tactical decision-making.

[0003] After nearly a decade of rapid development in active phased array technology, phased array radars have demonstrated significant advantages in scanning speed, accuracy, reliability, and flexibility. However, the operating environment and signal characteristics of phased array radar echo pulse signals present numerous challenges: first, the complex and ever-changing background electromagnetic environment; second, echo pulse signals may be incomplete or lost; and finally, the characteristic parameters of different echo pulse signals overlap. Faced with these challenges, traditional methods for source sorting and identification based on echo pulse signals have difficulty achieving ideal results when sorting and identifying phased array radar echo pulse signals.

[0004] In the related art, the traditional manual division of wave positions uses a fixed threshold to divide the wave positions, which has the problems of low efficiency and poor accuracy. Summary of the Invention

[0005] The purpose of this application is to provide a method, system, device and medium for wave position division of phased array radar echo pulse signals, which can improve the accuracy and efficiency of wave position division.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] In a first aspect, the present application provides a method for dividing the wave position of a phased array radar echo pulse signal, comprising:

[0008] Obtain aliased echo pulse signals from multiple models of phased array radars;

[0009] Constructing a pulse width priori knowledge base; the pulse width priori knowledge base includes a typical value range of pulse widths of multiple echo pulse signals;

[0010] Purifying and cleaning the aliased echo pulse signal according to the typical pulse width range to obtain echo pulse streams of various types of phased array radars;

[0011] Based on the pulse amplitude dynamic threshold, the echo pulse stream of each type of phased array radar is preliminarily divided into wave positions, and multiple initial wave positions of each type of phased array radar are obtained;

[0012] Based on the characteristic parameters of the echo pulse signal, multiple initial wave positions of each type of phased array radar are merged and divided twice.

[0013] In a second aspect, the present application provides a wave position division system for an array radar echo pulse signal, comprising:

[0014] An acquisition module is used to acquire aliased echo pulse signals of multiple types of phased array radars;

[0015] A construction module is used to construct a pulse width priori knowledge base; the pulse width priori knowledge base includes a typical value range of the pulse width of the echo pulse signal;

[0016] a cleaning module, configured to purify and clean the aliased echo pulse signal according to the typical pulse width value range to obtain an echo pulse stream of each type of phased array radar;

[0017] A preliminary division module is used to perform preliminary wave position division on the echo pulse stream of each type of phased array radar based on the pulse amplitude dynamic threshold to obtain multiple initial wave positions of each type of phased array radar;

[0018] The secondary division module is used to merge and secondary divide multiple initial wave positions of various types of phased array radars based on the characteristic parameters of the echo pulse signal.

[0019] In a third aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for wave position division of a phased array radar echo pulse signal described in any one of the above.

[0020] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for dividing the wave position of the phased array radar echo pulse signal described in any one of the above.

[0021] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0022] (1) The typical value range of pulse width in the pulse width prior knowledge base is used to purify and clean the aliased echo pulse signal to obtain the echo pulse stream of each type of phased array radar, reduce the interference of the echo pulse stream of other types of phased array radar on the initial wave position division, and improve the accuracy of subsequent initial wave position division.

[0023] (2) The pulse amplitude dynamic threshold is used to perform preliminary division of the echo pulse stream. This process uses the pulse amplitude dynamic threshold to perform initial division of the wave position. Compared with the use of fixed threshold division, this process can further improve the accuracy of the initial wave position division. This process uses the pulse amplitude dynamic threshold algorithm to automatically realize the initial wave position division, thereby improving the wave position division efficiency.

[0024] (3) By using the characteristic parameters of the echo pulse signal to merge and divide the multiple initial wave positions of a single type of phased array radar, it is possible to further reduce misjudgments and missed judgments, and further improve the accuracy of wave position division. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 This is a diagram illustrating an application environment of a method for dividing the wave position of a phased array radar echo pulse signal in one embodiment of the present application;

[0027] Figure 2 A flow chart of a method for dividing the wave position of a phased array radar echo pulse signal provided in one embodiment of the present application;

[0028] Figure 3 This is a flow chart of another method for dividing the wave position of a phased array radar echo pulse signal according to the present application;

[0029] Figure 4 A schematic diagram of the distribution of echo pulse signals before purification and cleaning provided in another embodiment of the present application;

[0030] Figure 5 A schematic diagram of the distribution of the echo pulse signal after purification and cleaning provided in another embodiment of the present application;

[0031] Figure 6 A schematic diagram of the multi-dimensional spatial distribution of characteristic parameters provided in another embodiment of the present application;

[0032] Figure 7 A schematic diagram of the final wave position division result provided in another embodiment of the present application;

[0033] Figure 8 A schematic diagram of the functional modules of a phased array radar echo pulse signal wave position division system provided in one embodiment of the present application;

[0034] Figure 9A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0036] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0037] The method for dividing the phased array radar echo pulse signal provided in the embodiment of the present application can be applied to the following Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the aliased echo pulse signal to the server 104. The server 104 receives the aliased echo pulse signal. The server 104 builds a pulse width priori knowledge base for the aliased echo pulse signals of multiple models of phased array radars; the pulse width priori knowledge base includes the typical pulse width value ranges of multiple echo pulse signals; the aliased echo pulse signal is purified and cleaned according to the pulse width typical value range to obtain the echo pulse stream of each model of phased array radar; the echo pulse stream of each model of phased array radar is preliminarily divided into wave positions based on the pulse amplitude dynamic threshold to obtain multiple initial wave positions of each model of phased array radar; the multiple initial wave positions of each model of phased array radar are merged and secondary divided based on the characteristic parameters of the echo pulse signal. The server 104 may feed back the obtained beam position division result to the terminal 102. In addition, in some embodiments, the beam position division method of the phased array radar echo pulse signal may also be implemented independently by the server 104 or the terminal 102. For example, the terminal 102 may directly perform beam position division processing on the aliased echo pulse signal to be processed, or the server 104 may obtain the aliased echo pulse signal from the data storage system and perform beam position division processing on the aliased echo pulse signal.

[0038] Terminal 102 may include, but is not limited to, various desktop computers, laptops, smartphones, tablet computers, IoT devices, and portable wearable devices. IoT devices may include smart speakers, smart TVs, smart air conditioners, and smart car devices. Portable wearable devices may include smart watches, smart bracelets, and head-mounted devices. Server 104 may be implemented as a standalone server or a server cluster consisting of multiple servers, or may be a cloud server.

[0039] In an exemplary embodiment, Figure 2 and Figure 3 As shown, a method for dividing the wave position of a phased array radar echo pulse signal is provided. The method is executed by a computer device, specifically a computer device such as a terminal or a server, or a terminal and a server. In the embodiment of the present application, the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate the process, including the following steps 201 to 205.

[0040] Step 201: Acquire aliased echo pulse signals of multiple types of phased array radars.

[0041] Step 202: construct a pulse width priori knowledge base; the pulse width priori knowledge base includes a typical value range of pulse widths of multiple echo pulse signals.

[0042] Step 203 : Purify and clean the aliased echo pulse signal according to the typical pulse width range to obtain echo pulse streams of various types of phased array radars.

[0043] Step 204 : performing preliminary wave position division on the echo pulse stream of each type of phased array radar based on the pulse amplitude dynamic threshold to obtain a plurality of initial wave positions of each type of phased array radar.

[0044] Step 205 : Based on the characteristic parameters of the echo pulse signal, multiple initial wave positions of each type of phased array radar are merged and divided twice.

[0045] Executing steps 201 to 205 can improve the accuracy and efficiency of the wave position division of the phased array radar echo pulse signal.

[0046] In an exemplary embodiment, step 202 specifically includes steps 301 and 302:

[0047] Step 301 : Count the typical pulse width values of historical pulse echo signals of various types of phased array radars, and determine a typical pulse width value range based on the typical pulse width values.

[0048] In actual applications, expert information is used to collect historical pulse width typical values of pulse echo signals from various phased array radar models, and a typical pulse width range is determined based on these typical pulse width values. For example, a typical pulse width value is a certain pulse width value, and adding or subtracting 500 from this pulse width value gives a typical pulse width range.

[0049] Step 302: construct a pulse width priori knowledge base based on the typical value range of the pulse width of each historical pulse echo signal.

[0050] The purpose of establishing a pulse width prior knowledge base is to preliminarily classify the characteristic parameters of various types of phased array radars by integrating historical information and expert experience, and to provide prior information for subsequent data purification and cleaning.

[0051] In an exemplary embodiment, in step 203, the collected aliased echo pulse signals are purified and cleaned according to the typical pulse width value range in the established pulse width prior knowledge base. The purpose is to extract the echo pulse signal of a single model of phased array radar of interest from the aliased echo pulse signals of multiple models of phased array radars, and then obtain the echo pulse stream of each model of phased array radar, which is convenient for the subsequent wave position division of the echo pulse stream. The distribution of the echo pulse signal before and after purification is as follows: Figure 4 and Figure 5 As shown, for typical pulse width value ranges that do not conform to the pulse width priori knowledge base, after accumulating a certain number, the pulse width value ranges of interest are manually selected as new pulse width typical value ranges and added to the pulse width priori knowledge base, thereby completing the update of the pulse width priori knowledge base.

[0052] In an exemplary embodiment, the initial wave position division is mainly performed based on the amplitude information of the echo pulse signal in combination with the reception time, according to the principle of similar amplitude and temporal continuity. Then, step 204 specifically includes steps 401 to 403:

[0053] Step 401 : Calculate a pulse amplitude dynamic threshold according to the amplitude of the echo pulse stream of each type of phased array radar within a preset sliding window.

[0054] Preset sliding window: The sliding window length is W echo pulse signals, denoted as {A i ,A i+1 ,…,A i+W-1}, where A i Represents the amplitude of the i-th echo pulse signal.

[0055] Calculate the difference in amplitude between two adjacent echo pulse signals within a preset sliding window, and calculate the variance and mean of the amplitude difference. The mean and variance of the amplitude difference are:

[0056] Mean:

[0057] variance:

[0058] Among them, j∈[i,i+W-2], ΔA j is the difference between the amplitudes of two adjacent echo pulse signals.

[0059] Construct a dynamic threshold for pulse amplitude based on the mean and standard deviation:

[0060] T ΔA =μ ΔA +k·σ ΔA ;

[0061] Among them, T ΔA is the pulse amplitude dynamic threshold, and k is the adjustment factor.

[0062] A sliding window is preset to analyze the difference in the amplitude of the echo pulse signal. The μ in the pulse amplitude dynamic threshold is ΔA 、 As the sliding window moves from front to back through the entire echo pulse stream, this process is constantly changing dynamically, so the calculated pulse amplitude dynamic threshold also changes dynamically.

[0063] Step 402 : Calculate the difference between the amplitudes of two adjacent echo pulse signals in the echo pulse stream of each type of phased array radar.

[0064] The calculation formula is: ΔA j =|A j+1 -A j |.

[0065] Step 403: When the difference is less than or equal to the pulse amplitude dynamic threshold, the two adjacent echo pulse signals are divided into the same wave position; when the difference is greater than the pulse amplitude dynamic threshold, the two adjacent echo pulse signals are divided into different wave positions; thereby obtaining multiple initial wave positions.

[0066] Specifically, if ΔA j ≤T ΔA , then the amplitudes of two adjacent echo pulse signals are similar, and the two adjacent echo pulse signals are divided into the same wave position.

[0067] If ΔA j >T ΔA , the amplitude variation of two adjacent echo pulse signals is too large, and the two adjacent echo pulse signals are divided into different wave positions.

[0068] In an exemplary embodiment, step 205 specifically includes: for each initial wave position, judging whether to merge the initial wave positions based on the characteristic parameters of the echo pulse signal; if not, performing a secondary division on the initial wave positions; if so, merging the initial wave positions and performing a secondary division on the merged initial wave positions.

[0069] For initial wave positions that contain only a single pulse in the initial wave position division, the reason for having only one pulse may be that the initial wave position can meet the mission requirements by transmitting a single pulse signal. In this case, the parameters of the single echo pulse signal are usually different from the characteristic parameters of the echo pulse signal of the previous initial wave position. It may also be due to the fluctuation of the antenna pointing of the phased array radar receiver or the influence of some environmental noise, causing the amplitude of a certain echo pulse signal to fluctuate significantly, causing the echo pulse signal that should belong to the previous initial wave position to be divided into another initial wave position. In this case, the characteristic parameters of the echo pulse signal are basically the same as those of the echo pulse signal in the previous initial wave position, so initial wave position merging is necessary.

[0070] The characteristic parameters of the echo pulse signal include pulse width, frequency, bandwidth, and modulation type, and may also include other characteristic parameters. In this embodiment, the characteristic parameters of the echo pulse signal including pulse width and frequency are taken as an example to illustrate the determination of whether to merge the initial wave positions based on the characteristic parameters of the echo pulse signal. For each initial wave position, the determination of whether to merge the initial wave positions is based on the pulse width and frequency of the echo pulse signal, specifically including steps 501 to 503:

[0071] Step 501: Determine the typical frequency range of the echo pulse signal.

[0072] It is necessary to determine the typical value range of each characteristic parameter, that is, to map the intra-pulse and inter-pulse features of each dimension into a high-order parameter space for characteristic parameter clustering. Figure 6 As shown in FIG, a schematic diagram of the multi-dimensional spatial distribution of characteristic parameters of each echo pulse signal in the initial wave position.

[0073] Specifically, a Gaussian Mixture Model (GMM) clustering algorithm based on the Bayesian Information Criterion (BIC) criterion is used to cluster the frequencies of all echo pulse signals in all initial wave positions of each type of phased array radar to obtain frequency clustering results. Clustering can also be achieved using clustering methods such as the K-means (K-means Clustering Algorithm) algorithm and the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm.

[0074] The core idea of the GMM model is to regard the data set as a linear combination of multiple Gaussian distributions, and its mathematical expression can be expressed as

[0075]

[0076] Where p(x) is the probability density of data point x, K is the number of clusters, and π k is the weight of the k-th Gaussian distribution, satisfying (x|μ k ,Σ k ) is the mean μ k and covariance is Σ k The BIC criterion is to avoid overfitting by penalizing complex models and select the model with the smallest BIC value as the best model. The implementation steps of the GMM clustering method combined with the BIC criterion are as follows:

[0077] 1. Data preparation: Integrate the frequency data of all echo pulse signals in each initial wave position into a data set.

[0078] 2. Select model parameters: determine the range of potential number of clusters K

[0079] 3. Initialization parameters: Randomly initialize the mean, covariance, and weight of each Gaussian distribution.

[0080] 4. Iterative Expectation-Maximization algorithm (EM) algorithm:

[0081] Execute the E step (expectation step) and calculate the posterior probability γ nk :

[0082]

[0083] Among them, γnk is the posterior probability that the data point belongs to the kth cluster.

[0084] Execute M steps (maximization steps): Update the parameters of the Gaussian distribution until convergence.

[0085] Weight update:

[0086] Mean update:

[0087] Covariance update:

[0088] 5. Calculate the BIC value: For each K value, calculate the BIC value of the corresponding model.

[0089] BIC = K*ln(n)-2*ln(L^);

[0090] Where n is the number of samples in the dataset (the number of data points), and L^ is the maximum likelihood value of the model.

[0091] The likelihood value is calculated by the EM algorithm, and the mean, covariance, weight, and K are substituted into the formula Calculated.

[0092] The ln(L^) term reflects the goodness of fit of the model. The larger the likelihood value, the smaller (more negative) the ln(L^) term, and the smaller the BIC value tends to be.

[0093] ln(n) is the natural pair of the sample size n, and K*ln(n) is a penalty term for model complexity. The more complex the model (the larger K) or the larger the amount of data (the larger n), the larger this penalty term is, which increases the BIC value. Therefore, different BIC values can be calculated for different K values.

[0094] 6. Select the best model: Compare the BIC values of different values and select the number of clusters with the smallest BIC value as the number of clusters for the final Gaussian mixture distribution model.

[0095] 7. Output the clustering results of the final GMM model, that is, the frequency clustering results.

[0096] Based on the frequency clustering result, a typical frequency value range of the echo pulse signal is defined by using a threshold of 3 times the standard deviation.

[0097] Step 502: If the current initial wave position contains a single echo pulse signal, and when the frequency and pulse width of the single echo pulse signal and the last echo pulse signal in the previous initial wave position belong to the same frequency typical value range and the same pulse width typical value range, or when the frequency and pulse width of the single echo pulse signal and the first echo pulse signal in the next initial wave position belong to the same frequency typical value range and the same pulse width typical value range, determine to merge the initial wave positions.

[0098] Step 503, when the frequency and pulse width of a single echo pulse signal and the last echo pulse signal in the previous initial wave position do not belong to the same frequency typical value range and the same pulse width typical value range, or when the frequency and pulse width of a single echo pulse signal and the first echo pulse signal in the next initial wave position do not belong to the same frequency typical value range and the same pulse width typical value range, determine not to merge the initial wave positions.

[0099] In actual application, for a single echo pulse in the jth initial wave position, its adjacent initial wave positions are the j-1th initial wave position and the j+1th initial wave position. The process of determining whether to merge using the frequency and pulse width of the echo pulse signal is as follows:

[0100] Determine whether the frequency value and pulse width value of a single echo pulse signal in the jth initial wave position and the frequency value and pulse width value of the last echo pulse signal in the j-1th initial wave position belong to the same frequency typical value range and the same pulse width typical value range.

[0101] When the frequency value and pulse width value of the single echo pulse signal in the j-th initial wave position belong to the same frequency typical value range and the same pulse width typical value range as the frequency value and pulse width value of the last echo pulse signal in the j-1-th initial wave position, the single echo pulse signal in the j-th initial wave position is merged into the j-1-th initial wave position and serves as the last echo pulse signal of the echo pulse sequence in the j-1-th initial wave position.

[0102] Otherwise, they are not merged; and the frequency value and pulse width value of the single echo pulse signal in the jth initial wave position and the frequency value and pulse width value of the first echo pulse signal in the j+1th initial wave position continue to be judged whether they belong to the same frequency typical value range and the same pulse width typical value range.

[0103] When the frequency value and pulse width value of the single echo pulse signal in the jth initial wave position belong to the same frequency typical value range and the same pulse width typical value range as the frequency value and pulse width value of the first echo pulse signal in the j+1th initial wave position, the single echo pulse signal in the jth initial wave position is merged into the j+1th initial wave position and used as the first echo pulse signal in the j+1th initial wave position; otherwise, it is not merged.

[0104] The single echo pulse signal in the jth initial wave position is merged into the j-1th initial wave position, or the single echo pulse signal in the jth initial wave position is merged into the j+1th initial wave position. If either of the two mergers is successful, it is determined that the initial wave positions are merged; the single echo pulse signal in the jth initial wave position is not merged into the j-1th initial wave position, nor is it merged into the j+1th initial wave position, it is determined that the initial wave positions are not merged.

[0105] After traversing each initial wave position and completing the merging judgment and processing of the initial wave position, the initial wave position is divided twice, specifically including steps 601 and 602:

[0106] Step 601: When the frequencies and pulse widths of the echo pulse signals at two adjacent moments in the initial wave position belong to the same frequency typical value range and the same pulse width typical value range, the echo pulse signals at two adjacent moments are divided into the same wave position.

[0107] Step 602: When the frequencies and pulse widths of the echo pulse signals at two adjacent moments in the initial wave position do not belong to the same frequency typical value range and the same pulse width typical value range, the echo pulse signals at two adjacent moments in the initial wave position are divided into different wave positions.

[0108] Take the echo pulse signal in the i-th initial wave position as an example for explanation, wherein the i-th initial wave position contains n echo pulse signals, namely the first echo pulse signal, the second echo pulse signal, the third echo pulse signal... the n-th echo pulse signal, wherein the first echo pulse signal and the second echo pulse signal are echo pulse signals at two adjacent moments, and the second echo pulse signal and the third echo pulse signal are echo pulse signals at two adjacent moments. Then the process of secondary division of the initial wave position is:

[0109] Determine whether the frequency value and pulse width value of the first echo pulse signal and the frequency value and pulse width value of the second echo pulse signal belong to the same frequency typical value range and the same pulse width typical value range; if so, divide the first echo pulse signal and the second echo pulse signal into the same wave position; if not, divide the first echo pulse signal and the second echo pulse signal into different wave positions.

[0110] Determine whether the frequency value and pulse width value of the third echo pulse signal belong to the same frequency typical value range and the same pulse width typical value range as the frequency value and pulse width value of the second echo pulse signal; if so, the third echo pulse signal is divided into the initial wave position where the second echo pulse signal is located; if not, the third echo pulse signal is divided into a new wave position. The final wave position division result is as follows: Figure 7 shown.

[0111] Based on the same inventive concept, embodiments of the present application also provide a system for wave position division of a phased array radar echo pulse signal for implementing the aforementioned method for wave position division of a phased array radar echo pulse signal. The implementation solution provided by this system is similar to the implementation solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the system for wave position division of a phased array radar echo pulse signal provided below can be found in the above-mentioned limitations of the method for wave position division of a phased array radar echo pulse signal, and will not be repeated here.

[0112] In an exemplary embodiment, Figure 8 As shown, a phased array radar echo pulse signal wave position division system is provided, comprising:

[0113] The acquisition module 81 is used to acquire aliased echo pulse signals of multiple types of phased array radars.

[0114] The construction module 82 is used to construct a pulse width priori knowledge base; the pulse width priori knowledge base includes the typical value range of the pulse width of the echo pulse signal.

[0115] The cleaning module 83 is used to purify and clean the aliased echo pulse signal according to the typical pulse width value range to obtain the echo pulse stream of each type of phased array radar.

[0116] The preliminary division module 84 is used to perform preliminary wave position division on the echo pulse stream of each type of phased array radar based on the pulse amplitude dynamic threshold to obtain multiple initial wave positions of each type of phased array radar.

[0117] The secondary division module 85 is used to combine and secondary divide the multiple initial wave positions of each type of phased array radar based on the characteristic parameters of the echo pulse signal.

[0118] This application has the following effects:

[0119] High Precision: The pulse amplitude dynamic threshold adjusts based on the actual echo pulse signal, avoiding the limitations of fixed thresholds. Optimization combines multiple characteristic parameters, such as pulse width and frequency, to reduce misjudgments and improve segmentation accuracy. Compared to traditional manual segmentation, this method offers higher precision, saves labor, and improves segmentation efficiency.

[0120] Robustness: The secondary division and merging mechanism checks the distribution differences of characteristic parameters within the initial wave position and rationally merges the initial wave position of a single echo pulse signal, reducing misjudgments and missed judgments, and enhancing the stability of wave position division in complex environments.

[0121] Self-optimization capability: The pulse width prior knowledge base transforms expert experience into mathematical language. Its update mechanism is continuously improved as more data is accumulated and analyzed, enhancing its adaptability to new situations and continuously optimizing the accuracy of wave position division.

[0122] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 9 As shown. The computer device includes a processor, a memory, an input / output interface (I / O) and a communication interface. The processor, memory and input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used 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, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to alias echo pulse signals. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for wave position division of a phased array radar echo pulse signal is implemented.

[0123] Those skilled in the art will understand that Figure 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0124] In an exemplary embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0125] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0126] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0127] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0128] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0129] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, 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.

[0130] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for dividing the wave position of a phased array radar echo pulse signal, characterized in that: include: Obtain aliased echo pulse signals from multiple models of phased array radars; Constructing a pulse width priori knowledge base; the pulse width priori knowledge base includes a typical value range of pulse widths of multiple echo pulse signals; Purifying and cleaning the aliased echo pulse signal according to the typical pulse width range to obtain echo pulse streams of various types of phased array radars; Based on the pulse amplitude dynamic threshold, the echo pulse stream of each type of phased array radar is preliminarily divided into wave positions, and multiple initial wave positions of each type of phased array radar are obtained; Based on the characteristic parameters of the echo pulse signal, multiple initial wave positions of each type of phased array radar are merged and divided twice.

2. The method for dividing the wave position of the phased array radar echo pulse signal according to claim 1, characterized in that: Construct a pulse width prior knowledge base, specifically including: Count the typical pulse width values of historical pulse echo signals of various types of phased array radars, and determine the typical pulse width value range based on the typical pulse width values; A pulse width priori knowledge base is constructed based on the typical value range of the pulse width of each historical pulse echo signal.

3. The method for dividing the wave position of the phased array radar echo pulse signal according to claim 1, characterized in that: Based on the pulse amplitude dynamic threshold, the echo pulse stream of each type of phased array radar is preliminarily divided into wave positions, and multiple initial wave positions of each type of phased array radar are obtained, including: Calculating a pulse amplitude dynamic threshold based on the amplitude of the echo pulse stream of each type of phased array radar within a preset sliding window; Calculate the difference between the amplitudes of two adjacent echo pulse signals in the echo pulse stream of each type of phased array radar; When the difference is less than or equal to the pulse amplitude dynamic threshold, the two adjacent echo pulse signals are divided into the same wave position; when the difference is greater than the pulse amplitude dynamic threshold, the two adjacent echo pulse signals are divided into different wave positions; thereby obtaining multiple initial wave positions.

4. The method for dividing the wave position of the phased array radar echo pulse signal according to claim 1, characterized in that: Based on the characteristic parameters of the echo pulse signal, multiple initial wave positions of each type of phased array radar are merged and divided twice, including: For each initial wave position, determine whether to merge the initial wave position based on the characteristic parameters of the echo pulse signal; If not, the initial wave position is divided twice; If so, the initial wave positions are merged and the merged initial wave positions are divided again.

5. The method for dividing the wave position of the phased array radar echo pulse signal according to claim 4, characterized in that: The characteristic parameters of the echo pulse signal include pulse width and frequency; For each initial wave position, determining whether to merge the initial wave positions is based on characteristic parameters of the echo pulse signal, specifically including: Determine the typical frequency range of the echo pulse signal; If the current initial wave position contains a single echo pulse signal, and when the frequency and pulse width of the single echo pulse signal and the last echo pulse signal in the previous initial wave position belong to the same frequency typical value range and the same pulse width typical value range, or when the frequency and pulse width of the single echo pulse signal and the first echo pulse signal in the next initial wave position belong to the same frequency typical value range and the same pulse width typical value range, determine to merge the initial wave positions; When the frequency and pulse width of a single echo pulse signal and the last echo pulse signal in the previous initial wave position do not belong to the same frequency typical value range and the same pulse width typical value range, or when the frequency and pulse width of a single echo pulse signal and the first echo pulse signal in the next initial wave position do not belong to the same frequency typical value range and the same pulse width typical value range, it is determined that the initial wave positions will not be merged.

6. The method for dividing the wave position of the phased array radar echo pulse signal according to claim 5, characterized in that: The initial wave position is divided into two parts, including: When the frequencies and pulse widths of the echo pulse signals at two adjacent moments in the initial wave position belong to the same frequency typical value range and the same pulse width typical value range, the echo pulse signals at the two adjacent moments are divided into the same wave position; When the frequencies and pulse widths of the echo pulse signals at two adjacent moments in the initial wave position do not belong to the same frequency typical value range and the same pulse width typical value range, the echo pulse signals at two adjacent moments in the initial wave position are divided into different wave positions.

7. The method for dividing the wave position of the phased array radar echo pulse signal according to claim 5, characterized in that: Determine the typical frequency range of the echo pulse signal, including: The Gaussian mixture model clustering algorithm based on the Bayesian criterion is used to cluster the frequencies of all echo pulse signals in all initial wave positions of each type of phased array radar to obtain the frequency clustering results. Based on the frequency clustering result, a typical frequency value range of the echo pulse signal is defined by using a threshold of 3 times the standard deviation.

8. A phased array radar echo pulse signal wave position division system, characterized in that: include: An acquisition module is used to acquire aliased echo pulse signals of multiple types of phased array radars; A construction module for constructing a pulse width prior knowledge base; The pulse width priori knowledge base includes the typical value range of the pulse width of the echo pulse signal; a cleaning module, configured to purify and clean the aliased echo pulse signal according to the typical pulse width value range to obtain an echo pulse stream of each type of phased array radar; A preliminary division module is used to perform preliminary wave position division on the echo pulse stream of each type of phased array radar based on the pulse amplitude dynamic threshold to obtain multiple initial wave positions of each type of phased array radar; The secondary division module is used to merge and secondary divide multiple initial wave positions of various types of phased array radars based on the characteristic parameters of the echo pulse signal.

9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for wave position division of a phased array radar echo pulse signal according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for dividing the wave position of the phased array radar echo pulse signal according to any one of claims 1 to 7 is implemented.

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