Image and Signal Processing Methods

Multiple mainlobe interferences suppression based on subspace matrix filtering and covariance matrix reconstruction

[+] Author Affiliations
Yasen Wang, Qinglong Bao, Zengping Chen

National University of Defense Technology, Science and Technology on Automatic Target Recognition Laboratory (ATR), No. 109 Deya Road, Changsha, Hunan 410073, China

J. Appl. Remote Sens. 10(3), 035008 (Aug 01, 2016). doi:10.1117/1.JRS.10.035008
History: Received April 20, 2016; Accepted July 12, 2016
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Abstract.  In order to suppress multiple mainlobe interferences and sidelobe interferences simultaneously, a mainlobe interference suppression algorithm is proposed. In this algorithm, the number of mainlobe interferences is estimated through a matrix filter at first. Then, the eigenvectors associated with mainlobe interference are determined and the eigen-projection matrix can be calculated. Next, the sidelobe-interference-plus-noise covariance matrix is reconstructed through eigenvalue replacement procedure. Finally, we can get the adaptive weight vector. Simulation results demonstrate the effectiveness of the proposed method when multiple mainlobe interferences exist.

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Topics

Matrices

Citation

Yasen Wang ; Qinglong Bao and Zengping Chen
"Multiple mainlobe interferences suppression based on subspace matrix filtering and covariance matrix reconstruction", J. Appl. Remote Sens. 10(3), 035008 (Aug 01, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.035008


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