DocumentCode :
3501532
Title :
Multi-channel signal subspace processing methods for SAR-MTI
Author :
Soumekh, Mehrdad ; Himed, Braham
Author_Institution :
Dept. of Electr. Eng., SUNY-Buffalo, Amherst, NY, USA
fYear :
2003
fDate :
5-8 May 2003
Firstpage :
126
Lastpage :
132
Abstract :
This paper examines coherent signal processing methods for combining the data that are collected via multi-channel airborne radar system for MTI/GMTI. We study the methods that convert multi-channel radar data into dual along-track monopulse SAR signals of the radiated scene. A 2D adaptive filtering method, that projects the data in one synthesized SAR channel into the signal subspace of the other, is used for blind calibration of the monopulse SAR signals and generation of the MTI statistic. The merits of these algorithms are studied using the data from the multi-channel airborne radar measurement (MCARM) system that has been developed by the Air Force Research Laboratory at Rome, New York.
Keywords :
adaptive filters; airborne radar; calibration; radar imaging; statistical analysis; synthetic aperture radar; two-dimensional digital filters; adaptive filtering method; airborne radar system; blind calibration; combining the data; ground moving target indicator; monopulse signals; multichannel airborne radar measurement; multichannel signal subspace processing methods; synthetic aperture radar; Adaptive filters; Adaptive signal processing; Airborne radar; Calibration; Force measurement; Layout; Radar signal processing; Signal processing; Signal synthesis; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2003. Proceedings of the 2003 IEEE
Print_ISBN :
0-7803-7920-9
Type :
conf
DOI :
10.1109/NRC.2003.1203391
Filename :
1203391
Link To Document :
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