Original paper
A Bayesian approach to robust adaptive beamforming
Volume: 48, Issue: 2, Pages: 386 - 398
Published: Jan 1, 2000
Abstract
An adaptive beamformer that is robust to uncertainty in source direction-of-arrival (DOA) is derived using a Bayesian approach. The DOA is assumed to be a discrete random variable with a known a priori probability density function (PDF) that reflects the level of uncertainty in the source DOA. The resulting beamformer is a weighted sum of minimum variance distortionless response (MVDR) beamformers pointed at a set of candidate DOAs, where the...
Paper Details
Title
A Bayesian approach to robust adaptive beamforming
Published Date
Jan 1, 2000
Volume
48
Issue
2
Pages
386 - 398
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