
Robust adaptive beamforming using beam‐space steering vector estimation
Author(s) -
Yang T.,
Su T.,
Zhu W.T.,
Zhang L.
Publication year - 2013
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2013.1714
Subject(s) - robustness (evolution) , covariance matrix , adaptive beamformer , beamforming , control theory (sociology) , algorithm , covariance , mathematical optimization , estimation of covariance matrices , computer science , beam steering , mathematics , artificial intelligence , telecommunications , antenna (radio) , biochemistry , chemistry , statistics , control (management) , gene
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.