Beamforming for a source located in the interior of a sensor array

Abstract

We introduce a framework for acquiring a signal from a source that is located within the midst of a randomly distributed sensor array. This problem arises in speech acquisition with microphone arrays. Based on psychoacoustic considerations, we formulate a constrained optimization problem in which the array weights are chosen to minimize the response to farfield sources while maintaining a unity-gain constraint for the source signal.