Mainlobe Interference Suppression Based on Eigen-Projection Processing and Covariance Matrix Reconstruction

Author

Xiaopeng Yang ; Zongao Zhang ; Tao Zeng ; Teng Long ; Sarkar, Tapan K.

Author_Institution

Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China

Volume

13

fYear

2014

fDate

2014

Firstpage

1369

Lastpage

1372

Abstract

A mainlobe interference suppression method is proposed based on eigen-projection processing and covariance matrix reconstruction. In the proposed method, the eigen-projection matrix is calculated based on the eigenvector of mainlobe interference to suppress the mainlobe interference in received echo data. The interference covariance matrix is reconstructed after the eigenvalue of mainlobe interference is replaced by the average value of noise eigenvalues to eliminate the effect of mainlobe interference to adaptive weight vector. Finally, the output of adaptive beamforming is calculated by processed echo data and adaptive weight vector obtained based on reconstructed covariance matrix. Simulation results show that the proposed method can suppress the mainlobe interference effectively and achieve excellent performance .

Keywords

covariance matrices; echo suppression; eigenvalues and eigenfunctions; adaptive beamforming; adaptive weight vector; covariance matrix reconstruction; echo data; eigen-projection matrix; eigen-projection processing; interference suppression method; mainlobe interference; noise eigenvalues; reconstructed covariance matrix; Array signal processing; Arrays; Covariance matrices; Eigenvalues and eigenfunctions; Interference; Noise; Vectors; Adaptive beamforming; covariance matrix reconstruction; eigen-projection processing; mainlobe interference;

fLanguage

English

Journal_Title

Antennas and Wireless Propagation Letters, IEEE

Publisher

ieee

ISSN

1536-1225

Type

jour

DOI

10.1109/LAWP.2014.2339224

Filename

6860313