A Robust Interference Covariance Matrix Reconstruction Algorithm against Arbitrary Interference Steering Vector Mismatch

Xiao Lei YUAN  Lu GAN  Hong Shu LIAO  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E98-A   No.7   pp.1553-1557
Publication Date: 2015/07/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E98.A.1553
Type of Manuscript: LETTER
Category: Digital Signal Processing
Keyword: 
interference covariance matrix reconstruction,  robust adaptive beamforming,  steering vector estimation,  interference steering vector mismatch,  

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Summary: 
We address a robust algorithm for the interference-plus-noise covariance matrix reconstruction (RA-INCMR) against random arbitrary steering vector mismatches (RASVMs) of the interferences, which lead to substantial degradation of the original INCMR beamformer performance. Firstly, using the worst-case performance optimization (WCPO) criteria, we model these RASVMs as uncertainty sets and then propose the RA-INCMR to obtain the robust INCM (RINCM) based on the Robust Capon Beamforming (RCB) algorithm. Finally, we substitute the RINCM back into the original WCPO beamformer problem for the sample covariance matrix to formulate the new RA-INCM-WCPO beamformer problem. Simulation results demonstrate that the performance of the proposed beamformer is much better than the original INCMR beamformer when there exist RASVMs, especially at low signal-to-noise ratio (SNR).