DocumentCode :
3481949
Title :
Detection and imaging of slowly moving target of airborne SAR based on the GMCWD-Hough transform
Author :
Ling, Wang ; Ran, Tao ; Si-Yong, Zhou
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol., China
Volume :
6
fYear :
2003
fDate :
6-10 April 2003
Abstract :
In this paper, the features of airborne SAR moving target echoes are analysed, the Generalized-marginal Choi-Williams Distribution-Hough transform (GMCWD-HT) is also introduced. According to the echoes model of airborne SAR, a new method of detecting and imaging the slowly moving target of airborne SAR based on the (GMCWD-HT) is proposed. Computer simulation results show that this method can be used to perform the slowly moving target detection and imaging of airborne SAR in the low signal to clutter ratio; its detecting performance is better than the common method based on Wigner-Ville distribution.
Keywords :
Hough transforms; radar clutter; radar detection; radar imaging; radar theory; radar tracking; synthetic aperture radar; target tracking; GMCWD-Hough transform; Generalized-marginal Choi-Williams Distribution-Hough transform; airborne SAR; imaging; performance; signal to clutter ratio; slowly moving target detection; synthetic aperture radar; Computer simulation; Doppler radar; Filtering; Focusing; Frequency domain analysis; Frequency estimation; Object detection; Radar clutter; Radio access networks; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1201734
Filename :
1201734
Link To Document :
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