Direction of Arrival Uncertainty of Adaptive Beamformer Based on Emphasis Type="Italic"a Posteriori/Emphasis Information

摘要

In this work, we present characteristics of an adaptive beamformer using Bayesian statistical inferences. We develop a model of array signal processing with optimum beamformer. The optimization of this beamformer focus on the uncertainty directions using a minimum mean-squared error spatial estimator. In spite of this, the underlying aim of this work is to present some issues about Bayesian implementations and generalized sidelobe cancelers. Also, we present some results of the beamformer a posteriori inference...