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Method for detecting robust CFAR detector

A detection method and detector technology, applied in the field of radar, can solve the problems of interference, high false alarm probability, clutter, etc., and achieve the effect of good detection performance and good robustness

Active Publication Date: 2017-03-22
XIAN INSTITUE OF SPACE RADIO TECH
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Problems solved by technology

[0005] The technical problem solved by the present invention is: to overcome the deficiencies of the prior art, to provide a robust detection method for CFAR detectors, to solve the problem of low target detection probability or interference, The problem of high false alarm probability caused by clutter

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  • Method for detecting robust CFAR detector

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Embodiment

[0051] The effects of the present invention will be further described through simulation experiments below.

[0052] Simulation results such as figure 2 , image 3 shown. figure 2 In a uniform clutter environment, the detection performance of the unit average detection algorithm, the unit average selection large detection algorithm, the unit average selection small detection algorithm, the ordered statistical detection algorithm and the algorithm proposed by the present invention is compared. The simulation parameters are set as follows: the signal-to-noise ratio range is set to 5dB-30dB, the number of Monte Carlo simulations is 20,000, and the statistical histogram Figure 1 It is divided into 10 intervals, the observation window size is set to 36, and the false alarm probability is set to 10 -6 . image 3 In the clutter environment with interfering targets, the detection performance of the unit average detection algorithm, the unit average selection large detection alg...

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Abstract

A method for detecting a robust CFAR detector solves the problem of detection performance loss under the conditions of unknown or inaccurate prior information. The realizing steps of the method include obtaining a sample histogram, obtaining a mean ratio of front and rear data windows of the detector, determining whether clutters in an observation area contain uniform clutters, clutter edges and interference targets according to the sample histogram and mean ratio, and selecting appropriate constant false alarm detection algorithm for detection according to the clutter environment. Types of clusters are primarily determined by estimating the sample amplitude statistical characteristics and mean ratio of the clusters in an observation area, and target detection probability and false alarm probability are obtained by adaptively selecting the appropriate CFAR detection algorithm. Since the method can be used to effectively screen observed cluster samples, good detection performance in different clutter environment can be ensured.

Description

technical field [0001] The invention belongs to the technical field of radar and relates to a method for processing target detection signals in complex environments, which can be used for robust detection of targets in various complex clutter environments such as interference targets and clutter edges. Background technique [0002] Traditional classic CFAR (Constant False Alarm Rate, constant false alarm rate) detectors mainly include unit average CFAR detectors, unit average selection large CFAR detectors, unit average selection small CFAR detectors and ordered statistical CFAR detectors. [0003] The unit average CFAR detector uses the observations of the surrounding reference units to estimate the background intensity of the unit to be detected. This estimation method not only requires that the statistical characteristics of the clutter contained in the adjacent units are consistent with those of the unit to be detected, but also requires that the adjacent units do not con...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/36G01S7/41
CPCG01S7/36G01S7/418
Inventor 李渝王伟伟杨晓超张欣林晨晨黎薇萍范一飞熊文昌
Owner XIAN INSTITUE OF SPACE RADIO TECH
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