A Method of Radar Signal Separation

Author

Youqian, Feng ; Shanwen, Zhang ; Zhengchao, Li

Author_Institution

Air Force Eng. Univ., Xian

fYear

2007

fDate

15-19 Dec. 2007

Firstpage

846

Lastpage

849

Abstract

Radar signal separation is an important link in the chain of information processing for air-defense, which is the process of extracting unknown independent radar signals from unknown sensor measurements. Sometimes, the source signals and the method of combination are unknown, and hence the problem is related to the problems of blind deconvolution and blind equalization. Blind signal separation is sometimes referred to as independent component analysis, as it generalizes principal component analysis to produce independent signals rather than simply uncorrelated signals. Based on the frequency localization of Morlet wavelet and genetic algorithm, this paper presents a method of radar signal separation. Some examples are given. The results of separation demonstrated this method is effective and low sensitivity to noise.

Keywords

blind source separation; genetic algorithms; independent component analysis; radar signal processing; wavelet transforms; Morlet wavelet; air-defense; blind deconvolution; blind equalization; blind signal separation; frequency localization; genetic algorithm; independent component analysis; independent signal; information processing; principal component analysis; radar signal separation; sensor measurement; source signal; Blind equalizers; Blind source separation; Data mining; Deconvolution; Independent component analysis; Information processing; Radar measurements; Radar signal processing; Signal processing; Source separation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on

Conference_Location

Heilongjiang

Print_ISBN

978-0-7695-3073-4

Type

conf

DOI

10.1109/CISW.2007.4425627

Filename

4425627