DocumentCode :
231446
Title :
A wideband interference suppression technique for multi-channel SAR based on STAP in the space-frequency domain
Author :
Xia Wang ; Zhenhua Liu ; Chuqiang Deng ; Tao Jiang
Author_Institution :
Nanjing Res. Inst. of Electron., Nanjing, China
fYear :
2014
fDate :
19-23 Oct. 2014
Firstpage :
230
Lastpage :
233
Abstract :
An interference suppression technique is proposed based on STAP in space-frequency domain for multi-channel synthetic aperture radar (MSAR) wideband mainlobe or sidelobe interference. The performance of wideband interference is analyzed. Interference suppression is accomplished by the SAR echo data projected in the orthogonal subspace of the interference subspace. The interference subspace is derived by the eigen subsapse of the training data covariance matrix. Thus, the technique of space time adaptive processing (STAP) is successfully applied to the field of wideband interference supression for MSAR in space-frequency domain. Finally, a clear SAR image is obtained by using the echo data interference-suppressed. Experimental results show that the algorithm proposed in this paper can effectively suppress wideband interference with the useful signal being kept well. It is meaningful and useful to the aspect of SAR anti-interference imaging.
Keywords :
covariance matrices; eigenvalues and eigenfunctions; interference suppression; radar imaging; synthetic aperture radar; SAR anti interference imaging; SAR echo data interference suppression; STAP; eigen subsapse; multichannel SAR wideband mainlobe; multichannel synthetic aperture radar wideband mainlobe; space time adaptive processing; space-frequency domain; training data covariance matrix; wideband interference suppression technique; Covariance matrices; Imaging; Interference suppression; Radar imaging; Synthetic aperture radar; Wideband; Interference Suppression; Multi-channel Synthetic Aperture Radar (MSAR); STAP in Space-Frequency Domain; Wideband Mainlobe Interference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
ISSN :
2164-5221
Print_ISBN :
978-1-4799-2188-1
Type :
conf
DOI :
10.1109/ICOSP.2014.7015003
Filename :
7015003
Link To Document :
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