Robust adaptive beamforming algorithm under directional uncertainty
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Adaptive Bayesian beamforming with sidelobe constraint
IEEE Communications Letters
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Adaptive beamforming can be used as a method for estimating an unknown waveform from a source impinging on an array of sensors. When the direction-of-arrival {DOA) of the incoming signal is known, the minimum variance distortion less response (MVDR) beamformer provides a distortion less version of the signal while suppressing noise and interference. However if there is a mismatch between the look direction of the beamformer and the actual DOA of the signal, there can be significant degradation in performance. In this paper, we use a Bayesian approach with the MVDR criterion to derive an adaptive beamformer which has nearly optimal performance under good conditions, and is robust to uncertainty in DOA under poor conditions.