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Multi-target interference resistant constant false alarm detection method

A constant false alarm detection and multi-target technology, applied in the field of constant false alarm detection, can solve the problem of insufficient anti-multi-target interference ability, and achieve the effect of improving detection performance and performance

Active Publication Date: 2019-01-11
INST OF ACOUSTICS CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

[0007] Purpose of the present invention is exactly to solve the problem that MUMCA method anti-multi-target jamming ability is insufficient

Method used

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  • Multi-target interference resistant constant false alarm detection method

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[0111] The parameters for the following performance analysis are set to: False alarm probability P fa =10 -4 , the number of front and rear sliding windows R 1 =R 2 =16, the UMVE method deletes the number of units r=2, and the dry mixing ratio IRR=20dB.

[0112] Figure 3 to Figure 4 is a schematic diagram of the situation when the interference targets are only distributed in the leading sliding window. It can be seen that when the number of interference targets is equal to the number of deleted units r in the UMVE method, the performance of the UMCASO-CFAR detector is almost the same as that of the MUMCA-CFAR detector. And when the number of interference is greater than the number of deleted units r, that is Figure 4 In the case shown, the performance of the UMCASO-CFAR detector proposed by the present invention is significantly better than that of the MUMCA detector, and is comparable to that of the MUMCA detector. image 3 Compared with the additional loss, the additi...

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Abstract

The invention discloses a multi-target interference resistant constant false alarm detection method. The method includes the following steps: step 1) a sonar performs sampling at intervals at a rightside and a left side of a location D of a detection unit, acquired sampling values sequentially pass through a matched filter and a square-law detector, and are sent to a shift register subsequently,and the shift register stores R1 sampling values (x<1>,x<2>...x<R1>) of the left side of D as a front reference sliding window, and stores R2 sampling values (x<1>,x<2>...x<R2>) of the right side of Das a back reference sliding window; step 2) the front reference sliding window is processed by an unbiased minimum variance estimating method to obtain front local estimation X, and the back reference sliding window is processed by a unit averaging method to obtain back local estimation Y; step 3) the smaller of X and Y is used as a final background noise power estimator Z; and step 4) after being multiplied by a threshold factor T, Z is compared with detection statistical quantity S to perform judgment, and a judgment result of whether the detection unit is a target is obtained.

Description

technical field [0001] The invention relates to the technical field of constant false alarm detection, in particular to a constant false alarm detection method against multi-target interference. Background technique [0002] The constant false alarm (CFAR) detection technology is a problem that the false alarm probability fluctuates greatly when the background noise power level rises slightly when the early sonar or radar detectors use a fixed threshold detection method. The background power level can be estimated from the sampled data, and a method for providing an adaptive decision threshold for the detector. The constant false alarm technology makes the false alarm probability get rid of the influence of the background fluctuation and keep it at a pre-set level, and at the same time, it can make the detector obtain the maximum detection probability under the constraint condition of this false alarm probability level. [0003] The earliest CFAR technology was the mean cla...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G01S7/539
CPCG01S7/41G01S7/539
Inventor 郝程鹏殷超然陈栋刘明刚徐达
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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