Fault Diagnosis Method of Radar Signal Processing System Based on PSO Test Points Optimal Selection Algorithm

被引：0
|
作者：
Xia Mingfei [1 ]
Chen Guoshun [1 ]
Wang Gefang [1 ]
Han Ning [1 ]
机构：
[1] Mech Technol Res Inst, Mech Engn Coll, Shijiazhuang 050000, Peoples R China
来源：
2013 3RD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT) | 2013年
关键词：
fault diagnosis; test points; optimal selection; signal processing system;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
When fault diagnosis of signal processing system of some radar is prosecuted with traditional method, many test points are involved and much time is consumed. To solve the problem, the fault diagnosis method based on particle swarm optimization (PSO) test points optimal selection algorithm is researched in this paper. PSO is used in test points optimal selection to improve the convergence velocity and the probability of converging to global optimal value. The algorithm is used in the fault diagnosis of the signal processing system of some radar to reduce the diagnosis time. Simulation experiments show that, with a relatively high diagnosis probability, this algorithm could reduce the number of test points effectively.
引用
收藏
页码：480 / 483
页数：4
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