An L-shaped microphone array configuration for impulsive acoustic source localization in 2-D using orthogonal clustering based time delay estimation

Muhammad Omer*, Ahmed A. Quadeer, Tareq Y. Al-Naffouri, Mohammad S. Sharawi

*Corresponding author for this work

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

5 Scopus citations

Abstract

This paper presents an L-shaped microphone array configuration for a robust 2-D localization of an impulsive acoustic source in an indoor environment. The localization technique relies on a recently proposed time delay estimation technique based on the orthogonal clustering algorithm (TDE-OC) which is designed to work under room reverberant conditions and at low sampling rates. The TDE-OC method finds the TDEs from the sparse room impulse response (RIR) signal. The TDE's obtained from RIR adds to the robustness of the TDE-OC method against room reverberations while the low sampling rates requirement reduces the hardware and computational complexity and relaxes the communication link between the microphones and the centralized location. Experimental results show the robustness of this method in a reverberant environment with low sampling rates, when compared with the generalized cross correlation method.

Original languageEnglish (US)
Title of host publication2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013
DOIs
StatePublished - 2013
Event2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013 - Sharjah, United Arab Emirates
Duration: Feb 12 2013Feb 14 2013

Publication series

Name2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013

Other

Other2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013
Country/TerritoryUnited Arab Emirates
CitySharjah
Period02/12/1302/14/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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