Robust adaptive beamforming under uncertainty in source direction-of-arrival

23 December 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 546-549
https://doi.org/10.1109/ssap.1996.534935

Abstract

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 distortionless response (MVDR) beamformer provides a distortionless 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. 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.

Keywords

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