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Array radar anti-noise interference method and system based on multi-unknown signal extraction

A signal extraction, array radar technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as peak shift, desired signal cancellation, and pattern main lobe distortion

Active Publication Date: 2021-07-30
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when the training sample contains the desired signal, the phenomenon of desired signal cancellation will occur, and in actual situations, it is difficult to obtain received data without the desired signal; adaptive beamforming requires that the steering vector of the desired signal be known precisely, In the presence of steering vector errors, the desired signal is rejected as interference
In addition, when the interference is located in the main lobe, the adaptive beamforming method will cause the problem of main lobe distortion and peak shift of the pattern, which will reduce the output SINR
Scholars have also proposed a series of methods for suppressing main lobe interference, such as the blocking matrix preprocessing algorithm (BMP), but the angle information of the main lobe interference needs to be known accurately, which is difficult to meet in actual situations and will lose the system degrees of freedom
There is also the feature projection preprocessing algorithm (EMP), which will also cause the loss of the desired signal when the received data contains the desired signal
[0005] When the received data of the radar array contains the desired signal, better anti-jamming effect is achieved, which is not available in the current anti-jamming method

Method used

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Embodiment 1

[0103] In order to verify an array radar anti-noise jamming method based on multi-unknown signal extraction proposed by the present invention, the actual measurement data obtained by the actual radar and jammer are used for anti-jamming processing. The radar array is a two-dimensional area array, which is divided into 12 sub-array channels. The radar transmission signal is a linear frequency modulation signal, and the jammer transmission interference is noise amplitude modulation interference. The difference between the azimuth angles of the desired signal and the interference is 2°, which is the main lobe interference. The experimental parameters are shown in the table below.

[0104] Table 1 Experimental parameter settings

[0105]

[0106]

[0107] figure 2 is the time-domain waveform and pulse pressure waveform of the received signal before anti-interference, where figure 2 (a) is the single-channel time-domain waveform of the received signal, figure 2 (b) is ...

Embodiment 2

[0110] In order to compare the performance of the method of the present invention and the traditional adaptive beamforming method, the following simulation experiment is designed: the simulation uses a uniform linear array, and the simulation parameters are shown in the table below.

[0111] Table 2 Simulation parameter settings

[0112]

[0113] Image 6 are the pattern of conventional beamforming (CBF), adaptive beamforming (ABF) with and without desired signal, and the method of the present invention. The following table compares the output signal-to-noise ratio (SNR) and output signal-to-interference-noise ratio (SINR) of different anti-interference methods. For the output SNR, ABF (no desired signal) and the method of the present invention are slightly lower than CBF, this is because both of them form a null in the main beam in order to suppress the main lobe interference, resulting in a peak shift, so the gain in the direction of the desired signal Slightly reduced,...

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Abstract

The invention discloses an array radar anti-noise interference method and system based on multi-unknown signal extraction, and relates to the technical field of radar anti-interference. The scheme of the invention comprises the following steps: establishing a receiving signal model according to an array structure of a radar; carrying out signal source number estimation on array receiving signals of the radar; extracting a plurality of unknown signals to obtain separation signals; and calculating the time domain moment kurtosis according to the separation signal, and determining a signal channel. According to the invention, the method is applied to radar anti-interference and is also suitable for array models of various structures, wherein source number estimation is carried out, so that DOA estimation is not needed, and the direction of arrival of desired signals and interference does not need to be accurately obtained; a multi-unknown signal extraction method is adopted to obtain expected signal and interference waveforms, so that subsequent processing is facilitated; and when the data received by the array contains a desired signal, the anti-interference performance of the method is better than that of a traditional side lobe and main lobe anti-interference method, and the larger the signal-to-noise ratio is, the better the separation effect is.

Description

technical field [0001] The invention relates to the technical field of radar anti-interference, in particular to an array radar anti-noise interference method and system based on extraction of multiple unknown signals. Background technique [0002] Modern information systems such as radar, navigation, communication and sonar realize the transmission of information and the detection, positioning, tracking, imaging and identification of target objects through the modulation, emission and reception of electromagnetic waves or sound waves. For example, radar radiates energy into space through electromagnetic waves, detects echo signals reflected by target objects, and suppresses unwanted clutter, interference, and noise in the background to achieve detection, tracking, and imaging of targets of interest. With the development of electronic information technology, the working environment of modern information systems has become increasingly complex, and a large number of active in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/36
CPCG01S7/36Y02A90/10
Inventor 杨小鹏于智超王桢高升曾涛龙腾
Owner BEIJING INSTITUTE OF TECHNOLOGYGY