DocumentCode :
2262002
Title :
A new method for small target detection over chaotic background
Author :
Xiaoyan, Max ; Xiaobin, Huang ; Feng, Wang ; Xiangdong, Xu
Author_Institution :
Air Force Radar Acad., Wuhan, China
fYear :
2001
fDate :
2001
Firstpage :
341
Lastpage :
344
Abstract :
Based on the chaos of sea clutter, a nonlinear prediction method is used to transform the classic binary decision problem to the analysis of prediction error in radar target detection, and a fuzzy min-max neural network-based detection scheme is proposed. The simulation experiment results show that this method is effective even in very low signal to clutter ratio background
Keywords :
chaos; fuzzy neural nets; minimax techniques; prediction theory; radar clutter; radar computing; radar detection; binary decision problem; chaotic background; fuzzy min-max neural network-based detection; nonlinear prediction method; prediction error analysis; radar target detection; sea clutter chaos; signal to clutter ratio background; simulation experiment results; small target detection; Chaos; Computational modeling; Data mining; Logistics; Object detection; Prediction methods; Radar clutter; Radar detection; Signal analysis; Signal detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location :
Beijing
Print_ISBN :
0-7803-7000-7
Type :
conf
DOI :
10.1109/ICR.2001.984689
Filename :
984689
Link To Document :
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