Radar signal layering method, apparatus, device, and medium

Abstract

The application discloses a radar signal layering method and device, equipment and medium, in response to the intercepted radar signal, the parameters of the sorted radar signal are weighted according to the number of interceptions; the weighted parameters are filtered according to the azimuth-time relationship, and the signals meeting the filtering condition and the rejected signals are obtained. The application can solve the problems of dense overlap, dynamic change and deviation of the intercepted radar signal, and the problems of large number and disorder of the parameters after automatic processing of the radar signal analysis software.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of electromagnetic spectrum processing, and particularly relates to a radar signal layering method, device, equipment and medium. BACKGROUND

[0002] The electromagnetic spectrum space presents the characteristics of a large variety of information, complex and changeable signals, and great randomness. How to timely, effectively and comprehensively obtain electromagnetic information plays an important role in accurately perceiving electromagnetic situation. Radar signal analysis is an important link. On the basis of signal sorting, radar parameters are analyzed to complete accurate identification of radar models or individuals, thereby providing important support for comprehensively mastering electromagnetic spectrum information.

[0003] The existing radar signal analysis method automatically sorts and identifies radar signals, and displays the signal parameters after sorting in the form of tables and graphics to assist analysts in analyzing radar parameters and attributes, and continuously improve the mastery of radar knowledge base, and the method can automatically process a large number of dense signals.

[0004] However, with the continuous upgrading and updating of radar technology systems and the increasing complexity of electromagnetic environments, the intercepted radar signals present the characteristics of overlapping, dynamic changes and partial deviations. The signal parameters automatically processed by the radar signal analysis software are numerous and disordered, and the analysts need to analyze these parameters one by one to identify the signals with high interception frequency and focus, thereby causing great workload. SUMMARY

[0005] The application aims to overcome the defects of the prior art and provide a radar signal layering method, device, equipment and medium. According to the azimuth-time change of the signal and in combination with the interception frequency, the signal parameters are filtered and labeled, so that the signal parameters can be displayed in layers during manual analysis, thereby meeting the analysis requirements of different levels.

[0006] The application achieves the above-mentioned purpose by the following technical solutions.

[0007] A radar signal layering method, which comprises the following steps:

[0008] In response to the intercepted radar signal, the parameters of the sorted radar signal are weighted according to the interception frequency.

[0009] The weighted parameters are filtered according to the azimuth-time relationship to obtain signals meeting the filtering condition and rejected signals.

[0010] Further, the weighting of the parameters of the sorted radar signal according to the interception frequency specifically comprises:

[0011] The parameter of the radar signal after sorting according to the time, azimuth and sorting parameter information is expressed in a vector form;

[0012] The parameter of each parameter is subjected to a weighting processing based on the number of intercepts to obtain a sorting parameter vector containing azimuth and time information.

[0013] Further, the parameter of the radar signal after sorting includes radio frequency, repetition interval and pulse width value.

[0014] Further, the azimuth and time information includes the number of intercepts, intercept azimuth and intercept time.

[0015] Further, the method of filtering the weighted parameter according to the azimuth-time relationship includes using a median calculation method for filtering.

[0016] Further, the using of the median calculation method for filtering specifically includes:

[0017] Initializing a median calculation window, calculating the maximum and minimum of the azimuth of the parameters in the window from the middle of each weighted sorting parameter vector, sorting according to the number of intercepts and calculating the median of the azimuth;

[0018] If the minimum of the azimuth < the median of the azimuth < the maximum of the azimuth, it is considered that the corresponding sorting parameter vector satisfies the filtering condition, otherwise it is considered that the corresponding sorting parameter vector does not satisfy the filtering condition.

[0019] Further, the method further includes layering display of the parameter according to the filtering result.

[0020] On the other hand, the present application also provides a radar signal layering device, the device includes:

[0021] A sorting parameter weighting module, the sorting parameter weighting module is responsive to the intercepted radar signal, and weights the parameter of the radar signal after sorting according to the number of intercepts;

[0022] A parameter filtering module, the parameter filtering module filters the weighted parameter according to the azimuth-time relationship to obtain signals satisfying the filtering condition and rejected signals.

[0023] On the other hand, the present application also provides a computer device, the computer device includes a processor and a memory, the memory stores a computer program, the computer program is loaded and executed by the processor to realize any one of the above radar signal layering methods.

[0024] On the other hand, the present application also provides a computer readable storage medium, the storage medium stores a computer program, the computer program is loaded and executed by the processor to realize any one of the above radar signal layering methods.

[0025] The application has the beneficial effects that:

[0026] The specific effect of the application in the actual engineering project is that, aiming at the phenomena of dense overlap, dynamic change and deviation of intercepted radar signals, and the phenomenon of a large number of and disordered parameters after automatic processing of the radar signal analysis software, a radar signal layering method, device, equipment and medium are proposed, for signals with low interception and unclear change law, labeling is performed, so that when artificial analysis is performed, the labeled and unlabeled signal parameters can be displayed in layers, and the timeliness and completeness of signal analysis in different use scenarios are met. BRIEF DESCRIPTION OF DRAWINGS

[0027] Figure 1 is a radar signal layering method flowchart provided by the embodiment of the application;

[0028] Figure 2 is a radar signal A parameter azimuth-time graph before filtering of the embodiment of the application;

[0029] Figure 3 is a radar model B parameter azimuth-time graph before filtering of the embodiment of the application;

[0030] Figure 4 is a radar model A parameter azimuth-time graph after filtering of the embodiment of the application;

[0031] Figure 5 is a radar model B parameter azimuth-time graph after filtering of the embodiment of the application;

[0032] Figure 6 is an original full pulse sample graph at a certain moment of the embodiment of the application;

[0033] Figure 7 is a signal azimuth-time graph before and after filtering of the embodiment of the application;

[0034] Figure 8 is a structure block diagram of a radar signal layering device provided by the embodiment of the application. DETAILED DESCRIPTION

[0035] The embodiments of the application are described below through specific and concrete examples, and those skilled in the art can easily understand other advantages and effects of the application from the disclosure of the specification. The application can also be implemented or applied through other different specific embodiments, and each detail in the specification can be modified or changed based on different views and applications without departing from the spirit of the application. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0036] Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] With the continuous upgrading and updating of radar technology and the increasing complexity of the electromagnetic environment, the detected radar signals are characterized by overlapping density, dynamic changes, and some deviations. The number of signal parameters automatically processed by radar signal analysis software is large and messy. Analysts need to analyze these parameters one by one to identify the signals that have been detected many times and are of key concern, which results in a huge workload.

[0038] To address the aforementioned technical problems, the following embodiments of the radar signal layering method, apparatus, device, and medium of the present invention are proposed.

[0039] Example 1

[0040] Reference Figure 1 ,like Figure 1 The diagram shows a schematic of the radar signal layering method provided in this embodiment. The method specifically includes two parts: (1) weighting of sorting parameters based on the number of intercepts. (2) parameter filtering based on median calculation.

[0041] Among them, (1) the weighting of sorting parameters based on the number of interceptions specifically includes the following steps:

[0042] The parameters after signal sorting can be represented as a vector para based on time, location, and parameter information. i :

[0043] para i =[rf i pri i ,pw i ] T

[0044] Among them, rf i pri i ,pw i These are the radio frequency, repetition interval, and pulse width values ​​for this sorting parameter. Considering the number of intercepts and combining time and azimuth information, the parameters are weighted and processed as follows:

[0045] Step 1: Let K be the number of parameters after signal sorting. For 0 < i < K, perform weighted processing on each parameter based on the number of interceptions. The weighted parameter wpara i It can be represented as

[0046] wpara i =[rf i pri i ,pw i capi doa i , t i ] T

[0047] Among them, cap i This parameter represents the number of interceptions, DOA i To obtain the location, t i The intercept time. The sorting parameters after weighting are denoted as...

[0048] wPARA = [wpara] i ] T , 0 < i < K.

[0049] (2) Parameter filtering based on median calculation specifically includes:

[0050] For the weighted parameters in the first part, filtering is performed using the median calculation method. The specific steps are as follows:

[0051] Step 2, initialize i = 0.

[0052] Step 3, for the i-th weighted parameter wpara i The median calculation window is initialized to w = L.

[0053] Step 4, using wpara i Given position i as the midpoint, calculate the maximum azimuth value of the parameters within the interval [iw, i+w], max(doa). i ), minimum value min(doa) i According to the number of interceptions (cap) i Sort the data and calculate the median(doa). i ).like

[0054] min(doa i ) < median(doa i ) < max(doa i ),

[0055] Then denote wpara i Satisfy the filtering condition f i =1, proceed to step 6; otherwise, proceed to step 5.

[0056] Step 5, w = w + μ, where μ is the sliding window step size of the median calculation window. If w is less than the maximum filtering window L... max If so, proceed to step 4; otherwise, record wpara. i The filtering condition f is not satisfied. i =0.

[0057] Step 6, i = i + 1, if i is less than the parameter length L, execute step 3; otherwise, end the filtering. The result can be determined based on the filtering outcome [f]. i ] T The parameters are displayed in layers (0 < i < K).

[0058] The radar signal layering method provided in this embodiment labels signals with low interception and unclear variation patterns, so that during manual analysis, labeled and unlabeled signal parameters can be displayed in layers, meeting the needs of signal analysis timeliness and completeness in different application scenarios.

[0059] Example 2

[0060] This embodiment illustrates the implementation scheme of the present invention using a simulation test scenario, in which two types of airborne radars, A and B, are present. (Refer to...) Figure 2 and Figure 3 ,like Figure 2 The image shown is the azimuth-time diagram of the radar signal A-parameters before filtering in this embodiment; as shown... Figure 3 The diagram shown is the azimuth-time diagram of radar model B parameters before filtering in this embodiment. It includes 3874 signals of model A with 19 patterns, and 3515 signals of model B with 14 patterns.

[0061] The radar signal layering method provided in the foregoing embodiments is used to classify the above signals. The specific steps are as follows:

[0062] Step A: First, perform step 1 to weight the parameters after signal sorting.

[0063] Step B: Set the initial window size L = 2, the sliding window step size μ = 2, and the maximum filtering window size L. max =6.

[0064] Step C: Perform steps 2 to 6 to filter the signals of radar model A and radar model B respectively.

[0065] Step D: Refer to Figure 4 and Figure 5 ,like Figure 4 The image shown is the azimuth-time diagram of radar model A after filtering in this embodiment. Figure 5 The diagram shown is the azimuth-time graph of radar model B after filtering in this embodiment. Model A has 2731 signals with 13 patterns that meet the filtering conditions, while model B has 1997 signals with 14 patterns. Taking radar model A as an example, the signal azimuth and interception count before and after filtering within a certain time period are shown in Table 1. In the last column, 1 indicates a filtered signal, and 0 indicates an unfiltered signal. From the table, we can see that there were 66 signals before filtering and 56 signals after filtering. The 10 filtered signals all exhibited large azimuth changes and low interception counts.

[0066]

[0067]

[0068]

[0069]

[0070]

[0071] Table 1 Partial signal azimuth and number of intercepts of radar model A

[0072] Referring to Figure 6 As Figure 6 shown is the original full pulse sample data diagram of a moment of this embodiment, it can be seen that the original sample diagram of the filtered signal presents the characteristics of less sample quantity and scattered change law. It can be known from the foregoing analysis that this method can filter and mark the low-intercept and scattered parameters, thereby performing hierarchical display on the signal parameters to meet the analysis needs of different levels.

[0073] Taking a batch of simulation data as an example, referring to Figure 7 As Figure 7 shown is the signal azimuth-time diagram before and after filtering of this embodiment, which shows the azimuth points before filtering and the azimuth points after filtering. It can be directly seen that this method can effectively mark the low-intercept and scattered signal, perform hierarchical display on the data, and meet the analysis needs of different scenarios.

[0074] Embodiment 3

[0075] Referring to Figure 8 As Figure 8 shown is the structure block diagram of the radar signal hierarchical device provided in this embodiment, which specifically includes the following structures:

[0076] The sorting parameter weighting module weights the parameters of the sorted radar signal according to the number of intercepts in response to the intercepted radar signal;

[0077] The parameter filtering module filters the weighted parameters according to the azimuth-time relationship to obtain the signals meeting the filtering condition and the rejected signals.

[0078] The radar signal hierarchical device provided in this embodiment can mark the signals with low interception and unclear change law, thereby being capable of performing hierarchical display on the marked and unmarked signal parameters during manual analysis, and meeting the needs of timeliness and completeness of signal analysis in different use scenarios.

[0079] Embodiment 4

[0080] The preferred embodiment provides a computer device which can implement the steps in any of the radar signal layering methods provided in the embodiments of the present application, and thus can implement the beneficial effects of the radar signal layering methods provided in the embodiments of the present application, details of which are described in the foregoing embodiments and thus will not be described here.

[0081] Embodiment 5

[0082] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions or by controlling relevant hardware by the instructions, which can be stored in a computer readable storage medium and loaded and executed by a processor. For this purpose, the embodiments of the present application provide a storage medium having a plurality of instructions stored therein, which can be loaded by a processor to execute the steps in any of the radar signal layering methods provided in the embodiments of the present application.

[0083] The storage medium can include a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0084] Since the instructions stored in the storage medium can execute the steps in any of the radar signal layering methods provided in the embodiments of the present application, the beneficial effects that can be achieved by any of the radar signal layering methods provided in the embodiments of the present application can be achieved, details of which are described in the foregoing embodiments and thus will not be described here.

[0085] The above only describes the preferred embodiments of the present application and is not intended to limit the present application, and any modifications, equivalent replacements and improvements made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A radar signal layering method, characterized in that, The method comprises: in response to the intercepted radar signal, weighting the parameters of the sorted radar signal according to the number of interceptions; the weighting of the parameters of the sorted radar signal according to the number of interceptions specifically comprises: representing the parameters of the sorted radar signal in the form of a vector according to time, azimuth and sorting parameter information; the azimuth and time information comprises the number of interceptions, the interception azimuth and the interception time; performing weighting processing based on the number of interceptions on each parameter to obtain a sorting parameter vector containing azimuth and time information; The number of parameters after signal sorting is K For Each parameter is subjected to weighting processing based on the number of intercepts, and the weighted parameter Can be expressed as wherein, respectively the radio frequency, repetition interval and pulse width values of the sorting parameter, is the number of intercepts for this parameter, is the bearing of the intercept, is the time of the intercept; the sorting parameter after weighting is denoted by ； filtering the weighted parameters according to the azimuth-time relationship to obtain signals meeting the filtering condition and rejected signals; the method for filtering the weighted parameters according to the azimuth-time relationship comprises using a median calculation method for filtering; the use of the median calculation method for filtering specifically comprises: initializing a median calculation window, calculating the maximum and minimum azimuth values of the parameters in the window from the midpoint of each weighted and sorted parameter vector, sorting according to the number of interceptions and calculating the median azimuth value; if the minimum azimuth value < the median azimuth value < the maximum azimuth value, it is considered that the corresponding sorting parameter vector meets the filtering condition, otherwise it is considered that the corresponding sorting parameter vector does not meet the filtering condition.

2. The radar signal layering method of claim 1, wherein, The parameters of the sorted radar signal comprise radio frequency, repetition interval and pulse width values.

3. The radar signal strati fication method of claim 1, wherein, The method further comprises layering display of the parameters according to the filtering results.

4. A radar signal layering apparatus for implementing the radar signal layering method of any one of claims 1-3, characterized by, The device comprises: a sorting parameter weighting module, which weights the parameters of the sorted radar signal according to the number of interceptions in response to the intercepted radar signal; a parameter filtering module, which filters the weighted parameters according to the azimuth-time relationship to obtain signals meeting the filtering condition and rejected signals.

5. A computer device, comprising: The computer device comprises a processor and a memory, the memory stores a computer program, the computer program is loaded and executed by the processor to realize the radar signal layering method according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, the computer program is loaded and executed by the processor to realize the radar signal layering method according to any one of claims 1 to 3.

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