DocumentCode :
2228522
Title :
Geometry-aided subspace projection for mitigating range-dependence of the clutter spectrum in forward-looking airborne radar
Author :
Yang, Xiaopeng ; Liu, Yongxu ; Long, Teng
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
6138
Lastpage :
6141
Abstract :
The clutter suppression of space-time adaptive processing (STAP) will degrade severely in forward-looking airborne radar if the range-dependence of clutter spectrum is not compensated correctly. In this paper, a new method for mitigating the range-dependence of the clutter spectrum based on the geometry-aided subspace projection is proposed. In the proposed method, the clutter covariance matrix of the range under test is firstly constructed based on the prior knowledge of antenna array configuration, and then the clutter subspace projection matrix is obtained by decomposing the corresponding covariance matrix. In the following, the mitigation of the range-dependence is accomplished by applying this clutter subspace projection matrix to transform the secondary range samples to obtain an approximate clutter subspace with the range under test. The simulation results show that the proposed method can mitigate the range-dependence significantly.
Keywords :
airborne radar; antenna arrays; covariance matrices; geophysical techniques; radar antennas; radar clutter; antenna array configuration; approximate clutter subspace; clutter covariance matrix; clutter spectrum; clutter subspace projection matrix; clutter suppression; forward-looking airborne radar; geometry-aided subspace projection; secondary range samples; space-time adaptive processing; Airborne radar; Antenna arrays; Arrays; Clutter; Covariance matrix; Radar antennas; Forward-looking airborne radar; Range dependence; Space-time adaptive processing (STAP); Subspace projection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352205
Filename :
6352205
Link To Document :
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