DocumentCode
2249594
Title
A radar target recognition method based on wavelet power spectrum and power offset
Author
Jie, Wu ; Jianjiang, Zhou ; Jiehao, Zhu
Author_Institution
Coll. of Inf. Sci. & Tech, Nanjing Univ. of Aero. & Astro, Nanjing, China
Volume
2
fYear
2010
fDate
6-7 March 2010
Firstpage
130
Lastpage
134
Abstract
Radar high resolution range profile (HRRP) is sensitive to the target aspect and highly overlapped in feature space between different targets, thereby hybrid features are suitable for representing the target´s property. In this paper, the quadratic spline wavelet with compact support properties was used to extract the energy spectrum features of HRRP by multi-resolution decomposition, and the power offset was defined to characterize the Structural characteristics of aircraft under different target-aspect. Then the joint features which combine the energy spectrum features and the power offset of HRRP were selected in the kernel space. The simulation results based on support vector machine (SVM) classifier show that the proposed method is effective.
Keywords
feature extraction; radar target recognition; splines (mathematics); wavelet transforms; HRRP; SVM; aircraft; energy spectrum feature extraction; multiresolution decomposition; power offset; quadratic spline wavelet; radar high resolution range profile; radar target recognition; support vector machine classifier; wavelet power spectrum; Educational institutions; Energy resolution; Frequency; Radar imaging; Spaceborne radar; Support vector machine classification; Support vector machines; Target recognition; Wavelet analysis; Wavelet transforms; Radar high resolution range profile (HRRP); Wavelet Power Spectrum; feature selection; power offset;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location
Wuhan
ISSN
1948-3414
Print_ISBN
978-1-4244-5192-0
Electronic_ISBN
1948-3414
Type
conf
DOI
10.1109/CAR.2010.5456753
Filename
5456753
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