Title :
Robust adaptive beamforming using beamspace steering vector estimation
Author :
Yang, Tao ; Su, Tao ; Zhu, W.T. ; Zhang, Leiqi
Author_Institution :
Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
Abstract :
To solve the problem of performance degradation owing to imprecise knowledge of the array steering vector and inaccurate estimation of the sample covariance matrix, a novel algorithm based on beam-space steering vector estimation for robust adaptive beamforming is presented. By using the complementary set of the spatial sector in which the actual steering vector lies, a beam-space transformation matrix can be constructed to remove the signal of interest from the sampling covariance matrix. The beam-space steering vector is estimated by solving a non-convex quadratically constrained quadratic optimisation problem. The effectiveness and robustness of the proposed algorithm is verified by the simulations.
Keywords :
adaptive signal processing; array signal processing; beam steering; concave programming; covariance matrices; quadratic programming; signal sampling; array steering vector; beam space steering vector estimation; beam space transformation matrix; nonconvex quadratically constrained quadratic optimisation problem; robust adaptive beamforming; sampling covariance matrix; spatial sector;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2013.1714