18 July 2017 Sparse recovery-based STAP method using prior information of azimuth-elevation
Author Affiliations +
Abstract
By exploiting the prior information of azimuth-elevation (AE), a sparse recovery (SR)-based space-time adaptive processing (STAP) method called AESR-STAP is proposed. First, the supercomplete properties matrix in the SR is built based on flight configuration prior information such as elevation and azimuth to estimate the azimuth-elevation spectrum of the ground clutter in different range cells. Then, the range ambiguity STAP clutter can be eliminated according to the difference of the elevation of the clutter in different range cells. Finally, the AESR-STAP utilizes the spatial and temporal coupling relation of the ground clutter, namely, the nonlinear relation among the azimuth, the elevation, Doppler frequency, and spatial frequency, to estimate the clutter distribution in time and space dimensions and to calculate the clutter covariance matrix. Theoretical analysis and simulation experiments have shown that the proposed method can estimate the temporal and spatial distribution more accurately, eliminate the range ambiguity STAP clutter to improve the clutter suppression of the airborne radar, and effectively detect ground low-speed targets.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Yiduo Guo, Yiduo Guo, Guisheng Liao, Guisheng Liao, Jian Gong, Jian Gong, Darong Huang, Darong Huang, } "Sparse recovery-based STAP method using prior information of azimuth-elevation," Journal of Applied Remote Sensing 11(3), 035004 (18 July 2017). https://doi.org/10.1117/1.JRS.11.035004 . Submission: Received: 26 January 2017; Accepted: 27 June 2017
Received: 26 January 2017; Accepted: 27 June 2017; Published: 18 July 2017
JOURNAL ARTICLE
12 PAGES


SHARE
RELATED CONTENT

Circular SAR GMTI
Proceedings of SPIE (June 12 2014)
Radar Waveforms
Proceedings of SPIE (December 27 1977)
Position correction of moving targets in SAR imagery
Proceedings of SPIE (January 11 2004)
Adaptive radar CFAR using signal-based suppression
Proceedings of SPIE (October 23 1997)

Back to Top