DocumentCode
85820
Title
Parametric sparse representation method for ISAR imaging of rotating targets
Author
Wei Rao ; Gang Li ; Xiqin Wang ; Xiang-Gen Xia
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume
50
Issue
2
fYear
2014
fDate
Apr-14
Firstpage
910
Lastpage
919
Abstract
Based on the linear relationship between the chirp rate of cross-range inverse synthetic aperture radar (ISAR) signal and the slant range, a parametric sparse representation method is proposed for ISAR imaging of rotating targets. The ISAR echo is formulated as a parametric joint-sparse signal and the chirp rates at all range bins are estimated by maximizing the contrast of sparse ISAR image. Comparing with homologous algorithms, the computational complexity of the proposed method is significantly reduced.
Keywords
computational complexity; image representation; radar imaging; synthetic aperture radar; ISAR chirp rate; ISAR echo; computational complexity reduction; cross-range inverse synthetic aperture radar signal; parametric joint-sparse signal representation; rotating target ISAR imaging; Chirp; Doppler effect; Estimation; Image resolution; Imaging; Signal resolution; Sparse matrices;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/TAES.2014.120535
Filename
6850191
Link To Document