Parameter estimation of acoustic signals using linear microphone arrays

Liwen Guo, Biruk A. Gebre, Kishore Pochiraju

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A novel method is developed to sequentially analyze power spectrums, estimate the number of signals and their frequencies, Direction of Arrival (DOA), and Signal-to-Noise Ratio (SNR). The relationship between the estimation bias and the array gain is investigated and an empirical model is built to improve the parameter estimations. An eight-element linear microphone array is made and used in testing the developed techniques. Five maximum likelihood algorithms and the MUSIC algorithm were used for DOA estimation and the results were compared. The test results show that the proposed methods were efficient and satisfactory estimation accuracy was achieved.

Original languageEnglish
Title of host publication2009 IEEE Sarnoff Symposium, SARNOFF 2009 - Conference Proceedings
DOIs
StatePublished - 2009
Event2009 IEEE Sarnoff Symposium, SARNOFF 2009 - Princeton, NJ, United States
Duration: 30 Mar 20091 Apr 2009

Publication series

Name2009 IEEE Sarnoff Symposium, SARNOFF 2009 - Conference Proceedings

Conference

Conference2009 IEEE Sarnoff Symposium, SARNOFF 2009
Country/TerritoryUnited States
CityPrinceton, NJ
Period30/03/091/04/09

Keywords

  • Beamforming
  • Direction of arrival
  • Maximum likelihood
  • Parameter estimation
  • Sensor array

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