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
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