A Target Detection Method Based on Adaptive Culling Algorithm

A target detection and self-adaptive technology, applied in radio wave measurement systems, instruments, etc., can solve the problems of low detection rate, missed detection rate and false alarm rate, and achieve the effect of improving detection performance

Active Publication Date: 2020-06-23
ANHUI POLYTECHNIC UNIV
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Problems solved by technology

[0007] In order to solve the technical problems of low detection rate, high missed detection rate and high false alarm rate in existing methods, the present invention provides a target detection method based on an adaptive elimination algorithm

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  • A Target Detection Method Based on Adaptive Culling Algorithm
  • A Target Detection Method Based on Adaptive Culling Algorithm
  • A Target Detection Method Based on Adaptive Culling Algorithm

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[0052] The exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The description of the exemplary embodiments is only for the purpose of illustration, rather than limiting the present invention and its application or usage.

[0053] The invention provides a target detection method based on an adaptive elimination algorithm. The method first arranges all reference units in the reference window in ascending order according to the magnitude, and then obtains an independent and identically distributed sequence through normalization processing. Then, according to the independent and identically distributed The mutual comparison between sequence units obtains two parameters. According to these two parameters, the number of thermal noise reference units, clutter reference units, and interference target reference units in the reference window can be estimated, so as to effectively distinguish the test unit x 0 Whet...

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Abstract

The present invention provides a self-adaptive culling algorithm-based target detection method. According to the technical scheme of the method, firstly, the number of reference cells in a reference window is counted, and the background noise power is estimated. Secondly, a power detection threshold is calculated. Finally, whether a target exists or not is judged though the target discrimination process. Therefore, the technical problem that an existing method is too small in detection rate, and too high in missing detection rate and false alarm rate can be solved. The above method is high in target detection rate, and low in missing detection rate and false alarm rate.

Description

technical field [0001] The invention belongs to the technical field of radar target detection, and in particular relates to a target detection method based on an adaptive elimination algorithm. Background technique [0002] The technical background related to the present invention will be described below, but these descriptions do not necessarily constitute the prior art of the present invention. [0003] With the wide application of radar detection technology in vehicle active safety and smart car technology, such as target detection of pedestrians, vehicles, road signs, road signs, etc., target detection methods are the key technologies of radar detection. At present, most radar target detection methods have passed The reference unit in the reference window estimates the background noise power, and then multiplies the proportional coefficient to obtain the detection power threshold, and then compares the detection unit power value with the power detection threshold to dete...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/40G01S7/38G01S7/41
CPCG01S7/38G01S7/4052G01S7/41
Inventor 刘贵如汪军修宇刘志军邹姗
Owner ANHUI POLYTECHNIC UNIV
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