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