Interference frequency analysis method based on investigation spectrum data

Abstract

The invention discloses an interference frequency analysis method based on investigation spectrum data, and the method comprises the steps: employing mean filtering to process the investigation spectrum data, eliminating the influence of an extreme isolated value on data statistics, carrying out the statistics of an amplitude maximum value parameter and a data position index of the investigation spectrum mean value data, and carrying out the analysis of the interference frequency. And judging whether interference occurs or not according to the set interference detection threshold, then performing interference frequency parameter calculation, and obtaining and outputting a current interference frequency center and an interference bandwidth. According to the scheme of the invention, broadband investigation spectrum data received by the multifunctional radar is utilized, and the interference frequency center and bandwidth of the radar under continuous stable noise suppression interference can be accurately calculated by performing mean filtering, interference existence judgment and other processing on the data, so that technical support is provided for realizing self-adaptive interference resistance of the radar; the scheme is low in cost, small in calculation amount, simple in implementation principle and good in engineering practical value.

Description

Technical Field

[0001] This invention belongs to the field of radar signal processing, specifically relating to a method for analyzing interference frequencies based on reconnaissance spectrum data. Background Technology

[0002] The core objective of interference frequency analysis technology is to quickly and accurately determine parameters such as the intensity, frequency center, and bandwidth of unknown interference signals in complex electromagnetic environments. For multi-functional radars, facing continuous and stable noise suppression interference, it is necessary to acquire interference signal parameters accurately in real time to achieve adaptive interference suppression.

[0003] Common methods for interference frequency analysis include real-time spectrum analyzers and pulse analyzers. Both of these methods require specialized instruments and are relatively expensive. Summary of the Invention

[0004] To address the aforementioned problems, the present invention aims to provide an interference frequency analysis method based on reconnaissance spectrum data. By utilizing the reconnaissance spectrum data of a multi-functional radar and processing the data through mean filtering and interference presence / absence determination, interference parameters can be obtained in real time and accurately. This method is low in cost, requires minimal computation, has a simple implementation principle, and possesses significant engineering practical value.

[0005] The specific technical solution for achieving the objective of this invention is as follows:

[0006] An interference frequency analysis method based on reconnaissance spectrum data includes the following steps:

[0007] Step 1: Use mean filtering to process the detection spectrum data to eliminate the impact of extreme isolated values ​​on data statistics;

[0008] Step 2: Calculate the maximum amplitude parameter DataMax and its data location index Index of the statistical reconnaissance spectrum mean data Data_mean;

[0009] Step 3: Set the interference detection threshold Thr and compare it with the maximum amplitude parameter DataMax. If the interference detection threshold Thr is less than or equal to the maximum amplitude parameter DataMax, the data is determined to be interfered with, and the process jumps to step 4. If the interference detection threshold Thr is greater than the maximum amplitude parameter DataMax, the process jumps to step 1 and continues to process the next set of data.

[0010] Step 4: Calculate the interference frequency parameters. Based on the maximum amplitude parameter DataMax calculated in Step 2 and its data location index Index, calculate the values ​​that satisfy the condition ≤ DataMax / on both sides of the data location index Index. The first data index values ​​are Index_left and Index_right;

[0011] Step 5: Based on the data index values ​​Index_left and Index_right obtained in Step 4, calculate and output the current interference frequency center and interference bandwidth.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0013] The present invention utilizes broadband reconnaissance spectrum data received by a multi-functional radar. By performing mean filtering and interference detection on the data, the interference frequency center and bandwidth of the radar under continuous and stable noise suppression can be accurately calculated, providing technical support for the radar to achieve adaptive anti-interference. The present invention has low cost, low computational load, simple implementation principle, and good engineering practical value.

[0014] The present invention will be further described below with reference to specific embodiments. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the interference frequency analysis method based on reconnaissance spectrum data of the present invention. Detailed Implementation

[0016] Example

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only some embodiments of the present invention, and not all embodiments. 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.

[0018] As indicated in this application and claims, unless the context clearly indicates otherwise, the words "a," "an," "an," and / or "the" do not specifically refer to the singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of explicitly identified steps and elements, which do not constitute an exclusive list, and the method or apparatus may also include other steps or elements.

[0019] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of this application. It should also be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale. Techniques, methods, and devices known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and devices should be considered part of the specification. In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters in the following drawings denote similar items; therefore, once an item is defined in one drawing, it need not be further discussed in subsequent drawings.

[0020] Combination Figure 1 An interference frequency analysis method based on reconnaissance spectrum data includes the following steps:

[0021] Step 1: Use mean filtering to process the reconnaissance spectrum data to eliminate the influence of extreme isolated values ​​on data statistics. That is, set the sliding window length to an integer n, slide the sliding window from the beginning to the end of the reconnaissance spectrum data, calculate the mean of the sliding window and replace the value at the center of the original sliding window.

[0022] In this embodiment, the detected spectrum data is set to Data, the sliding window length is 5, and the current data window center is 100. Then the mean value within the window is calculated as DataMeanTmp = mean(Data(98:102)), and DataMeanTmp replaces the value at the original window center.

[0023] Step 2: Calculate the maximum amplitude parameter DataMax and its data location index Index of the statistical reconnaissance spectrum mean data Data_mean;

[0024] The maximum amplitude parameter DataMax is:

[0025] DataMax = max(Data_mean)

[0026] Where Data is the filtered detection spectrum data, and the index of the maximum amplitude parameter DataMax in the detection spectrum data is recorded;

[0027] In this embodiment, the calculated maximum amplitude parameter DataMax is 10000 and Index=1000.

[0028] Step 3: Set the interference detection threshold Thr and compare it with the maximum amplitude parameter DataMax. If the interference detection threshold Thr is less than or equal to the maximum amplitude parameter DataMax, the data is determined to be interfered with, and the process jumps to step 4. If the interference detection threshold Thr is greater than the maximum amplitude parameter DataMax, the process jumps to step 1 and continues to process the next set of data.

[0029] Step 4: Calculate the interference frequency parameters. Based on the maximum amplitude parameter DataMax calculated in Step 2 and its data position index Index, calculate the first data index value Index_left and Index_right on the left and right sides of the data position index Index respectively, satisfying the condition: ≤DataMax / √2.

[0030] Step 4-1: Starting from Index, extract the detection spectrum data Data_k corresponding to Index-k, k=1, 2, 3…999 in sequence, and determine whether the condition Data_k≤DataMax / √2 is satisfied. If the condition is satisfied, record Index_left =Index-k.

[0031] Step 4-2: Starting with Index, extract the detection spectrum data Data_k corresponding to Index+k, k=1, 2, 3... in sequence, and determine whether the condition Data_k≤DataMax / √2 is satisfied. If the condition is satisfied, record Index_right =Index+k.

[0032] In this embodiment, Index_right = 1050 and Index_left = 950 are obtained;

[0033] Step 5: Based on the data index values ​​Index_left and Index_right obtained in Step 4, calculate and output the current interference frequency center and interference bandwidth:

[0034] The interference frequency bandwidth is: Jam_Band = (Index_right - Index_left)*△f;

[0035] The interference frequency center is calculated as: Jam_Fre = Jam_Band / 2 + Index_left*△f + f1;

[0036] Where f1 is the starting frequency of the reconnaissance spectrum data, which is 3000MHz in this embodiment, and the ending frequency is f2=3200MHz. Δf=0.1MHz is the frequency resolution of the reconnaissance spectrum data.

[0037] The interference frequency bandwidth is: Jam_Band = (1050 - 950)*0.1 = 10MHz, and the interference frequency center is calculated as: Jam_Fre = 10 / 2 + 950*0.1 + 3000 = 3100.

[0038] This solution also provides an interference frequency analysis system based on reconnaissance spectrum data, including the following modules:

[0039] Preprocessing module: Used to process the detected spectrum data using mean filtering to eliminate the impact of extreme isolated values ​​on data statistics;

[0040] Interference detection module: used to statistically analyze the maximum amplitude parameter DataMax of the reconnaissance spectrum mean data Data_mean and its data location index Index;

[0041] Set an interference detection threshold Thr and compare it with the maximum amplitude parameter DataMax. If the interference detection threshold Thr is less than or equal to the maximum amplitude parameter DataMax, the data is determined to be interfered with, and the process jumps to step 4. If the interference detection threshold Thr is greater than the maximum amplitude parameter DataMax, the process jumps to step 1 and continues to process the next set of data.

[0042] Interference Analysis Module: Based on the calculated maximum amplitude parameter DataMax and its data location index Index, this module calculates the values ​​satisfying the condition ≤ DataMax / on both sides of the data location index Index. The first data index values, Index_left and Index_right, are used to calculate and output the current interference frequency center and interference bandwidth.

[0043] This solution also provides a computer device, including 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 perform the following steps:

[0044] Step 1: Use mean filtering to process the detection spectrum data to eliminate the impact of extreme isolated values ​​on data statistics;

[0045] Step 2: Calculate the maximum amplitude parameter DataMax and its data location index Index of the statistical reconnaissance spectrum mean data Data_mean;

[0046] Step 3: Set the interference detection threshold Thr and compare it with the maximum amplitude parameter DataMax. If the interference detection threshold Thr is less than or equal to the maximum amplitude parameter DataMax, the data is determined to be interfered with, and the process jumps to step 4. If the interference detection threshold Thr is greater than the maximum amplitude parameter DataMax, the process jumps to step 1 and continues to process the next set of data.

[0047] Step 4: Calculate the interference frequency parameters. Based on the maximum amplitude parameter DataMax calculated in Step 2 and its data location index Index, calculate the values ​​that satisfy the condition ≤ DataMax / on both sides of the data location index Index. The first data index values ​​are Index_left and Index_right;

[0048] Step 5: Based on the data index values ​​Index_left and Index_right obtained in Step 4, calculate and output the current interference frequency center and interference bandwidth.

[0049] This solution also provides a computer-readable storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, performs the following steps:

[0050] Step 1: Use mean filtering to process the detection spectrum data to eliminate the impact of extreme isolated values ​​on data statistics;

[0051] Step 2: Calculate the maximum amplitude parameter DataMax and its data location index Index of the statistical reconnaissance spectrum mean data Data_mean;

[0052] Step 3: Set the interference detection threshold Thr and compare it with the maximum amplitude parameter DataMax. If the interference detection threshold Thr is less than or equal to the maximum amplitude parameter DataMax, the data is determined to be interfered with, and the process jumps to step 4. If the interference detection threshold Thr is greater than the maximum amplitude parameter DataMax, the process jumps to step 1 and continues to process the next set of data.

[0053] Step 4: Calculate the interference frequency parameters. Based on the maximum amplitude parameter DataMax calculated in Step 2 and its data location index Index, calculate the values ​​that satisfy the condition ≤ DataMax / on both sides of the data location index Index. The first data index values ​​are Index_left and Index_right;

[0054] Step 5: Based on the data index values ​​Index_left and Index_right obtained in Step 4, calculate and output the current interference frequency center and interference bandwidth.

[0055] The embodiments described above are merely one implementation method of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method of analyzing interference frequencies based on survey spectrum data, characterized by, Includes the following steps: Step 1: Use mean filtering to process the detection spectrum data to eliminate the impact of extreme isolated values ​​on data statistics; Step 2: Calculate the maximum amplitude parameter DataMax and its data location index Index of the statistical reconnaissance spectrum mean data Data_mean; Step 3: Set the interference detection threshold Thr and compare it with the maximum amplitude parameter DataMax. If the interference detection threshold Thr is less than or equal to the maximum amplitude parameter DataMax, the data is determined to be interfered with, and the process jumps to step 4. If the interference detection threshold Thr is greater than the maximum amplitude parameter DataMax, the process jumps to step 1 and continues to process the next set of data. Step 4: Calculate the interference frequency parameters. Based on the maximum amplitude parameter DataMax calculated in Step 2 and its data location index Index, calculate the values ​​that satisfy the condition ≤ DataMax / on both sides of the data location index Index. The first data index values ​​are Index_left and Index_right; Step 5: Based on the data index values ​​Index_left and Index_right obtained in Step 4, calculate and output the current interference frequency center and interference bandwidth.

2. The interference frequency analysis method based on reconnaissance spectrum data according to claim 1, characterized in that, The step 1 of processing the detection spectrum data using mean filtering specifically involves: Set the sliding window length to an integer n, slide the sliding window from the beginning to the end of the detected spectrum data, calculate the mean of the sliding window and replace the value at the center of the original sliding window.

3. The interference frequency analysis method based on reconnaissance spectrum data according to claim 1, characterized in that, The maximum amplitude parameter DataMax in step 2 is: DataMax = max(Data_mean) Here, Data represents the filtered detection spectrum data, and the index of the maximum amplitude parameter DataMax in the detection spectrum data is recorded.

4. The interference frequency analysis method based on reconnaissance spectrum data according to claim 1, characterized in that, The calculation of the interference frequency parameters in step 4 is as follows: Step 4-1: Starting from Index, extract the detection spectrum data Data_k corresponding to Index-k, k=1, 2, 3…Index-1 sequentially, and determine whether the condition Data_k≤DataMax / is satisfied. If the condition is met, then record Index_left = Index - k; Step 4-2: Starting from Index, extract the detection spectrum data Data_k corresponding to Index+k, k=1, 2, 3… in sequence, and determine whether the condition Data_k≤DataMax / is satisfied. If the condition is met, then record Index_right = Index + k.

5. The interference frequency analysis method based on reconnaissance spectrum data according to claim 1, characterized in that, The calculation and output of the current interference frequency center and interference bandwidth in step 5 are as follows: The interference frequency bandwidth is: Jam_Band = (Index_right - Index_left)*△f; The interference frequency center is calculated as: Jam_Fre = Jam_Band / 2 + Index_left*△f + f1; Where f1 is the starting frequency of the reconnaissance spectrum data, and Δf is the frequency resolution of the reconnaissance spectrum data.

6. An interference frequency analysis system based on reconnaissance spectrum data, characterized in that, Includes the following modules: Preprocessing module: Used to process the detected spectrum data using mean filtering to eliminate the impact of extreme outliers on data statistics; Interference detection module: used to statistically analyze the maximum amplitude parameter DataMax of the reconnaissance spectrum mean data Data_mean and its data location index Index; Set an interference detection threshold Thr and compare it with the maximum amplitude parameter DataMax. If the interference detection threshold Thr is less than or equal to the maximum amplitude parameter DataMax, the data is determined to be interfered with, and the process jumps to step 4. If the interference detection threshold Thr is greater than the maximum amplitude parameter DataMax, the process jumps to step 1 and continues to process the next set of data. Interference Analysis Module: Based on the calculated maximum amplitude parameter DataMax and its data position index Index, it calculates the first data index value Index_left and Index_right on the left and right sides of the data position index Index respectively, which satisfy the condition: ≤DataMax / √2. Based on this, it calculates and outputs the current interference frequency center and interference bandwidth.

7. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1-5.

8. A computer-storable medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1-5.

Images