Interference source direction finding method based on investigation spectrum data

Abstract

The invention discloses an interference source direction finding method based on investigation spectrum data, which comprises the following steps of: counting and caching an amplitude mean value parameter of the investigation spectrum data, calculating and caching the amplitude mean value parameter of the investigation spectrum data in a radar working frequency range according to a radar detection working frequency center, a sampling rate and the resolution of the investigation spectrum data; whether the radar is interfered or not is judged according to the amplitude mean value parameter of the investigation spectrum data, finally, according to the cached interference result and the interference mean value parameter, interference orientation condensation is conducted through a power centroid method, and the interference orientation after condensation is output. According to the scheme, the influence of judging whether interference exists or not due to echo can be effectively avoided, meanwhile, direction finding of the interference is achieved through the centroid condensation method, the calculated amount is small, the implementation principle is simple, the good engineering practical value is achieved, the interference source direction finding precision of the radar under continuous stable noise suppression interference can be improved, the beam width is increased to 1 / 5 times from 1 time of 3dB, and the interference source direction finding precision is improved. And a technical support is provided for realizing self-adaptive anti-interference of the radar.

Description

Technical Field

[0001] This invention belongs to the field of radar signal processing and anti-interference, specifically relating to a method for finding the direction of interference sources based on reconnaissance spectrum data. Background Technology

[0002] The core objective of interference source direction finding technology is to quickly and accurately determine the direction of arrival of unknown interference signals in complex electromagnetic environments. Its main methods can be divided into four categories, including amplitude method, phase method, time difference method and spatial spectrum estimation method.

[0003] The amplitude method is a simple and low-cost method for direction finding by comparing signal amplitudes. However, it is susceptible to the influence of singular amplitude values. We propose to use the amplitude mean and centroid convergence method to effectively avoid this influence and improve the direction finding accuracy. The phase method uses the phase difference of the interference signal arriving at different antennas for direction finding, while the time difference method uses the time difference of the interference signal arriving at different antennas for direction finding. Both require multiple signal receiving points and have high requirements for equipment accuracy.

[0004] Spatial spectrum estimation methods achieve super-resolution capability by processing multi-channel array echo signals, but the system is complex and computationally intensive. Summary of the Invention

[0005] To address the aforementioned problems, the present invention aims to provide an interference source direction finding method based on reconnaissance spectrum data. By utilizing reconnaissance spectrum data, the method effectively avoids the influence of its own echo on the determination of whether interference exists. At the same time, it achieves interference direction finding through centroid condensation method. The method involves low computational load, simple implementation principle, and has good engineering practical value.

[0006] The specific technical solution for achieving the objective of this invention is as follows:

[0007] A method for direction finding of interference sources based on reconnaissance spectrum data includes the following steps:

[0008] Step 1: Calculate and cache the mean amplitude parameter of the reconnaissance spectrum data. Based on the radar detection operating frequency center, sampling rate, and reconnaissance spectrum data resolution, calculate and cache the mean amplitude parameter of the reconnaissance spectrum data within the radar operating frequency range.

[0009] Step 2: Determine whether the radar is being interfered with based on the mean amplitude parameter of the reconnaissance spectrum data. If so, proceed to Step 3; otherwise, return to Step 1 and continue processing the next set of data.

[0010] Step 3: Based on the cached interference results and the mean interference parameter, use the power centroid method to aggregate the interference azimuth and output the aggregated interference azimuth.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0012] This invention addresses the difficulty of direction finding of interference sources when a rotating phased array radar is subjected to suppression interference. It proposes a method for direction finding of interference sources based on reconnaissance spectrum data. Using this data, the method calculates the mean spectral intensity parameter and employs a "three-connectivity" approach to determine the presence of interference. Finally, it calculates the azimuth of the interference source using a power centroid condensation method. This solution effectively avoids the influence of its own echo on the determination of interference presence. Furthermore, it achieves direction finding of interference through centroid condensation, requiring minimal computation and possessing a simple implementation principle, thus demonstrating significant engineering practical value.

[0013] The method described in this invention can improve the direction finding accuracy of radar under continuous and stable noise suppression interference, increasing the beamwidth from 1 times the 3dB to 1 / 5 times, providing technical support for radar to achieve adaptive anti-interference.

[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 process 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 A method for direction finding of interference sources based on reconnaissance spectrum data includes the following steps:

[0021] Step 1: Calculate and cache the mean amplitude parameter of the reconnaissance spectrum data. Based on the radar's operating frequency center, sampling rate, and reconnaissance spectrum data resolution, calculate and cache the mean amplitude parameter of the reconnaissance spectrum data within the radar's operating frequency range.

[0022] Step 1-1: The reconnaissance spectrum data is Data, the radar detection operating frequency center is f0, the sampling rate is fs, the starting frequency of the reconnaissance spectrum data is f1, the ending frequency is f2, the frequency resolution is Δf, and the amplitude mean parameter is calculated as follows:

[0023] Data_mean = mean(Data(max(0, f0-f1-fs / 2) / △f, min(f2-f1, f0-f1+fs / 2) / △f))

[0024] Where max is the function for maximizing, min is the function for minimizing, and mean is the function for calculating the mean.

[0025] In this embodiment, the radar detection operating frequency center is f0=3100MHz and the sampling rate is fs=10MHz. The detection spectrum data frequency starts at f1=3000MHz, ends at f2=3200MHz, and has a frequency resolution of Δf=0.1MHz. The average amplitude of the calculated statistical data is Data_mean = mean(Data(950, 1050)).

[0026] Step 1-2: The azimuth direction of the current reconnaissance spectrum data is Azi, and the width is △Azi. Calculate the current data index as Index = round(Azi / △Azi), and cache the calculated mean amplitude parameter in the corresponding data index buffer.

[0027] In this embodiment, the azimuth direction of the current reconnaissance spectrum data is Azi=90°, the width is △Azi=1°, the current data packet index is calculated as Index=90, and the calculated amplitude mean parameter Data_mean is cached in the buffer corresponding to the Index value.

[0028] Step 2: Determine whether the radar is being interfered with based on the mean amplitude parameter of the reconnaissance spectrum data. If so, proceed to Step 3; otherwise, return to Step 1 and continue processing the next set of data.

[0029] This step uses an interference detection threshold K and a "three-connectivity" approach to determine whether the current reconnaissance spectrum data is being interfered with. Specifically:

[0030] Set the interference detection threshold to K=45, and extract the amplitude mean parameters Data_mean1=55, Data_mean2=60, and Data_mean3=50 at Index, Index-1, and Index-2, i.e., 90, 89, and 88, respectively.

[0031] Use the "three-connectivity" method to determine whether the current data meets the conditions:

[0032] If Data_mean2≥K and Data_mean2≥Data_mean1 and Data_mean2≥Data_mean3, it is determined that the current reconnaissance spectrum data is interfered with; if the above conditions are not met, it is determined that the current reconnaissance spectrum data is not interfered with. The data selected in this embodiment meets the requirements, so proceed to step 3.

[0033] Step 3: Based on the cached interference results and the mean interference parameter, use the power centroid method to aggregate the interference azimuth and output the aggregated interference azimuth.

[0034] The azimuth of the radar data based on the amplitude mean parameters at the selected Index, Index-1, and Index-2 are (Azi1, Azi2, Azi3), and the corresponding mean amplitudes are (Data_mean1, Data_mean2, Data_mean3).

[0035] Calculate the azimuth value of the current interference using the power centroid method:

[0036] Azi_cal=(Azi1*Data_mean1 2+Azi2*Data_mean2 2 +Azi3*Data_mean3 2 ) / (Data_mean1 2 +Data_mean2 2 +Data_mean3 2 );

[0037] The three azimuths of the acquired interference are (90°, 89°, 88°), with corresponding mean amplitudes of (55, 60, 50). The azimuth value of the current interference is calculated using the power centroid method:

[0038] 89.06 = (90*55^2 + 89*60^2 + 88*50^2) / (55^2 + 60^2 + 50^2). Save and output the calculation result.

[0039] The solution of this invention can effectively avoid the influence of its own echo on the judgment of whether there is interference. At the same time, it realizes the direction finding of interference through the centroid condensation method, which can improve the direction finding accuracy of the interference source under the continuous and stable noise suppression interference of the radar. The beamwidth is increased from 1 times the 3dB beamwidth to 1 / 5 times. It provides technical support for the radar to realize adaptive anti-interference. Moreover, the amount of calculation is small, the implementation principle is simple, and it has good engineering practical value.

[0040] This solution also provides an interference source direction finding system based on reconnaissance spectrum data, including the following modules:

[0041] Parameter calculation module: Calculates and caches the mean amplitude parameter of the reconnaissance spectrum data. Based on the radar detection operating frequency center, sampling rate, and resolution of the reconnaissance spectrum data, it calculates and caches the mean amplitude parameter of the reconnaissance spectrum data within the radar operating frequency range.

[0042] Judgment module: Determines whether the radar is being interfered with based on the mean amplitude parameter of the detected spectrum data;

[0043] Interference source calculation module: Based on the cached interference results and the mean interference parameters, the power centroid method is used to concentrate the interference azimuth and output the concentrated interference azimuth.

[0044] 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:

[0045] Step 1: Calculate and cache the mean amplitude parameter of the reconnaissance spectrum data. Based on the radar detection operating frequency center, sampling rate, and reconnaissance spectrum data resolution, calculate and cache the mean amplitude parameter of the reconnaissance spectrum data within the radar operating frequency range.

[0046] Step 2: Determine whether the radar is being interfered with based on the mean amplitude parameter of the reconnaissance spectrum data. If so, proceed to Step 3; otherwise, return to Step 1 and continue processing the next set of data.

[0047] Step 3: Based on the cached interference results and the mean interference parameter, use the power centroid method to aggregate the interference azimuth and output the aggregated interference azimuth.

[0048] 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:

[0049] Step 1: Calculate and cache the mean amplitude parameter of the reconnaissance spectrum data. Based on the radar detection operating frequency center, sampling rate, and reconnaissance spectrum data resolution, calculate and cache the mean amplitude parameter of the reconnaissance spectrum data within the radar operating frequency range.

[0050] Step 2: Determine whether the radar is being interfered with based on the mean amplitude parameter of the reconnaissance spectrum data. If so, proceed to Step 3; otherwise, return to Step 1 and continue processing the next set of data.

[0051] Step 3: Based on the cached interference results and the mean interference parameter, use the power centroid method to aggregate the interference azimuth and output the aggregated interference azimuth.

[0052] 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 for direction finding of an interference source based on snooped spectrum data, characterized in that, Includes the following steps: Step 1: Calculate and cache the mean amplitude parameter of the reconnaissance spectrum data. Based on the radar detection operating frequency center, sampling rate, and reconnaissance spectrum data resolution, calculate and cache the mean amplitude parameter of the reconnaissance spectrum data within the radar operating frequency range. Step 2: Determine whether the radar is being interfered with based on the mean amplitude parameter of the reconnaissance spectrum data. If so, proceed to Step 3; otherwise, return to Step 1 and continue processing the next set of data. Step 3: Based on the cached interference results and the mean interference parameter, use the power centroid method to aggregate the interference azimuth and output the aggregated interference azimuth.

2. The interference source direction finding method based on reconnaissance spectrum data according to claim 1, characterized in that, The calculation and caching of the amplitude mean parameter of the reconnaissance spectrum data within the radar's operating frequency range in step 1 specifically involves: Step 1-1: The reconnaissance spectrum data is Data, the radar detection operating frequency center is f0, the sampling rate is fs, the starting frequency of the reconnaissance spectrum data is f1, the ending frequency is f2, the frequency resolution is Δf, and the amplitude mean parameter is calculated as follows: Data_mean = mean(Data(max(0, f0-f1-fs / 2) / △f, min(f2-f1, f0-f1+fs / 2) / △f)); Where max is the function for maximizing, min is the function for minimizing, and mean is the function for calculating the mean. Step 1-2: The azimuth direction of the current reconnaissance spectrum data is Azi, and the width is △Azi. Calculate the current data index as Index = round(Azi / △Azi), and cache the calculated mean amplitude parameter in the corresponding data index buffer.

3. The interference source direction finding method based on reconnaissance spectrum data according to claim 1, characterized in that, When determining whether the radar is being interfered with in step 2: By using the interference detection threshold K, a "three-connection" method is employed to determine whether the current reconnaissance spectrum data is being interfered with.

4. The interference source direction finding method based on reconnaissance spectrum data according to claim 3, characterized in that, The method of using "three-way connectivity" to determine whether the current reconnaissance spectrum data is interfered with is as follows: Set the interference detection threshold to K, and extract the amplitude mean parameters Data_mean1, Data_mean2, and Data_mean3 at Index, Index-1, and Index-2. Use the "three-connectivity" method to determine whether the current data meets the conditions: If Data_mean2≥K, Data_mean2≥Data_mean1, and Data_mean2≥Data_mean3, then the current reconnaissance spectrum data is determined to be interfered with; otherwise, the current reconnaissance spectrum data is determined not to be interfered with.

5. The interference source direction finding method based on reconnaissance spectrum data according to claim 3, characterized in that, The output of the condensed interference location in step 3 is specifically as follows: The azimuth of the radar data based on the amplitude mean parameters at the selected Index, Index-1, and Index-2 are (Azi1, Azi2, Azi3), and the corresponding mean amplitudes are (Data_mean1, Data_mean2, Data_mean3). Calculate the azimuth value of the current interference using the power centroid method: Azi_cal = (Azi1*Data_mean1 2 +Azi2*Data_mean2 2 +Azi3*Data_mean3 2 ) / (Data_mean1 2 +Data_mean2 2 +Data_mean3 2 ).

6. A direction finding system for interference sources based on reconnaissance spectrum data, characterized in that, Includes the following modules: Parameter calculation module: Calculates and caches the mean amplitude parameter of the reconnaissance spectrum data. Based on the radar detection operating frequency center, sampling rate, and resolution of the reconnaissance spectrum data, it calculates and caches the mean amplitude parameter of the reconnaissance spectrum data within the radar operating frequency range. Judgment module: Determines whether the radar is being interfered with based on the mean amplitude parameter of the detected spectrum data; Interference source calculation module: Based on the cached interference results and the mean interference parameters, the power centroid method is used to concentrate the interference azimuth and output the concentrated interference azimuth.

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.

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