DocumentCode :
2799713
Title :
A new method of radar clutter recognition based on multi-α truncation set
Author :
Xueli, Fang ; Diannong, Liang ; Kun, Zou ; Zhen, Dong ; Xiaotao, Huang
Author_Institution :
Sch. of Electron. Sci. & Technol., Nat. Univ. of Defense Technol., Hunan, China
Volume :
2
fYear :
2003
fDate :
8-13 Oct. 2003
Firstpage :
858
Abstract :
Radar clutter recognition is very useful for modern radar signal processing system. α truncation set feature extraction based method needs short samples and has very high recognition rate for log-normal distribution clutter, but suffers shortcomings of high error recognition rate to discriminate Weibull from K-distribution when the samples are short. A modified radar clutter recognition method based on α truncation set feature extraction - multi-α truncation set feature extraction based radar clutter recognition method is presented in this paper, we point out that this method is a generalized form of rectangular figure-based method. From the simulation results and analyzing of real radar clutter test, it is seen that this method is more valid, practical and prospective.
Keywords :
Weibull distribution; feature extraction; log normal distribution; radar clutter; radar signal processing; Weibull distribution; error recognition rate; feature extraction; log-normal distribution clutter; multi-α truncation set; radar clutter recognition; radar clutter test; radar signal processing system; rectangular figure based method; Analytical models; Feature extraction; Higher order statistics; Log-normal distribution; Parametric statistics; Radar clutter; Radar signal processing; Signal processing; Statistical analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN :
0-7803-7925-X
Type :
conf
DOI :
10.1109/RISSP.2003.1285699
Filename :
1285699
Link To Document :
بازگشت