A robust minimum variance beamformer with new constraint on uncertainty of steering vector

Authors:
Zhu Liang Yu;Meng Hwa Er
Affiliations:
Center for Signal Processing, Nanyang Technological University, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Venue:
Signal Processing - Signal processing in UWB communications
Year:
2006

Citing 5
Cited 1

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Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem

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Robust Capon beamforming against large DOA mismatch

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Abstract

A robust minimum variance beamformer, also called robust Capon beamformer (RCB), with a new constraint on the uncertainty of nominal array steering vector (ASV) is proposed in this paper. Unlike the uncertainty constraints used in literature, the proposed constraint is constructed by replacing the nominal ASV with the projected one onto the signal-plus-interference subspace. With this compact uncertainty constraint, the proposed RCB achieves higher output signal-to-noise-plus-interference ratio (SINR) compared with the conventional RCBs. Theoretical analysis and simulation results show the effectiveness of the proposed RCB.