A recursive filter approach to adaptive Bayesian beamforming for unknown DOA

Chunwei Jethro Lam, Andrew C. Singer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traditional beamforming algorithms require perfect knowledge of the source direction-of-arrival (DOA) to generate beamformer weights that yield high signal-to-interference-plus-noise ratio (SINR). We apply a Bayesian approach to adaptive beamforming such that the algorithm automatically tunes to the underlying DOA that is not known a priori to the user. The proposed beamformer can be viewed as a weighted mixture of minimum variance distortionless response (MVDR) beamformers combined according to the data-driven posterior probability density function (PDF) of the DOA. Previous studies use discrete samples to capture the spatial variation of the posterior PDF. In this work, we show that, in case of uniform linear array (ULA), the posterior PDF can be represented as a product of the prior PDF and a number of von Mises PDF's, each approximated by the frequency response of a recursive filter. The beamformer weights can then be computed from the corresponding recursive filtering operations. This leads to an algorithm that preserves the continuity of the parameter space and is capable to resolve any amount of DOA error.

Original languageEnglish (US)
Title of host publicationSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
Pages307-310
Number of pages4
DOIs
StatePublished - 2008
EventSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop - Darmstadt, Germany
Duration: Jul 21 2008Jul 23 2008

Publication series

NameSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop

Other

OtherSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
Country/TerritoryGermany
CityDarmstadt
Period7/21/087/23/08

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A recursive filter approach to adaptive Bayesian beamforming for unknown DOA'. Together they form a unique fingerprint.

Cite this