Time Domain Adaptive Filter Implementation of a Minimum Variance Distortionless Response (MVDR) Beamformer for a Sensor Array

Bal N. Agamata

Abstract:	This paper presents a time domain adaptive recursive filter implementation of a Minimum Variance Distortionless Response (MVW beamformer for a sensor array. The array consists of spatially located sensors whose signals are fed to steering delays or filters matched to a known modulation waveform. The steered signals are input data to a multi-channel signal processor. The MVDR, in contrast with the noise-subtractor method and the Griffith’s Least-Mean-Squared (GLMS) error beamformers, consists of a set of adaptive recursive transversal filters as a first stage and an adaptive linear combiner as final stage. The first stage is designed to process a signal representable by a 3rd degree polynomial and contaminated by stationary or nonstationary noise. The desired response is the final stage output. Applications to the MVDR filtering technique to radar or sonar beamformers and integrated multi-sensor navigation system are considered.
Published in:	Proceedings of the 4th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1991) September 11 - 13, 1991 Albuquerque, NM
Pages:	443 - 452
Cite this article:	Agamata, Bal N., "Time Domain Adaptive Filter Implementation of a Minimum Variance Distortionless Response (MVDR) Beamformer for a Sensor Array," Proceedings of the 4th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1991), Albuquerque, NM, September 1991, pp. 443-452.
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