Locating an Acoustic Source Using a Mutual Information Beamformer

  • Osama N. Alrabadi
  • Fotios Talantzis
  • Anthony G. Constantinides
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 296)


Beamforming remains one of the most common methods for estimating the Direction Of Arrival (DOA) of an acoustic source. Beamformers operate using at least two sensors that look among a set of geometrical directions for the one that maximizes received signal power. In this paper we consider a two-sensor beamformer that estimates the DOA of a single source by scanning the broadside for the direction that maximizes the mutual information between the two microphones. This alternative approach exhibits robust behavior even under heavily reverberant conditions where traditional power-based systems fail to distinguish between the true DOA and that of a dominant reflection. Performance is demonstrated for both algorithms with sets of simulations and experiments as a function of different environmental variables. The results indicate that the newly proposed beamforming scheme can accurately estimate the DOA of an acoustic source.


Root Mean Square Error Mutual Information Average Root Mean Square Error Acoustic Source Short Time Fourier Transform 
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Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Osama N. Alrabadi
  • Fotios Talantzis
  • Anthony G. Constantinides

There are no affiliations available

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