DocumentCode
2422261
Title
A Detection Method of Radar Signal by Wavelet Transforms
Author
Zhang, Shanwen ; Fan, Jianbo ; Shou, Lidan ; Dong, Jinxiang
Author_Institution
Ningbo Univ. of Technol., Ningbo
Volume
2
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
710
Lastpage
714
Abstract
In this paper, an effective detection method of radar signal is presented based on the wavelet analysis. The purpose of this paper is to provide the review of the wavelet analysis research and to detect radar target from radar echo. The theory of wavelet analysis is presented including continuous and discrete wavelet transform. Then specific application, namely radar target detection is presented. In this paper, using wavelet transform to preprocess the radar echo, we are able to obtain multiple data series at different scales of the wavelet transform. These multiple data series can then be used as input to sensors of independent component analysis for detection of a single independent source. The proposed method is applied to radar target detection using a real signal series. It is demonstrated that the method in combination with wavelet transform is effective with feasible result. It has greater theoretical significance and actual applied value in regarded to radar signal processing and target identifying in our aerial defense weapon system.
Keywords
independent component analysis; military radar; radar cross-sections; radar detection; radar signal processing; wavelet transforms; aerial defense weapon system; independent component analysis; multiple data series; radar echo; radar signal detection method; real signal series; wavelet transforms; Continuous wavelet transforms; Discrete wavelet transforms; Independent component analysis; Object detection; Radar applications; Radar detection; Radar signal processing; Signal analysis; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.18
Filename
4406168
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