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An expected least-squares beamforming approach to signal estimation with steering vector uncertainties

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3 Author(s)
Eldar, Y.C. ; Dept. of Electr. Eng., Technion Israel Inst. of Technol., Haifa, Israel ; Nehorai, Arye ; La Rosa, P.S.

We treat the problem of beamforming for signal estimation in the presence of steering vector uncertainties, where the goal is to estimate a signal amplitude from a set of array observations. Conventional beamforming methods typically aim at maximizing the signal-to-interference-plus-noise ratio (SINR). Recently, a maximum likelihood (ML) approach was introduced that leads to an iterative beamformer. Here we suggest an expected least-squares (LS) strategy that results in a simple linear beamformer. We then demonstrate through simulations that the LS beamformer often performs similarly to the ML method in terms of mean-squared error and outperforms conventional SINR-based approaches.

Published in:

Signal Processing Letters, IEEE  (Volume:13 ,  Issue: 5 )