Estimation of wavefront arrival delay for acoustical signals using the cross-power spectrum phase technique

  • Daniel V. Rabinkin
    The Ctr. for Comput. Aids for Industrial Productivity, Rutgers Univ., P.O. Box 1390, Piscataway, NJ 08855-1390
  • Richard J. Renomeron
    The Ctr. for Comput. Aids for Industrial Productivity, Rutgers Univ., P.O. Box 1390, Piscataway, NJ 08855-1390
  • James L. Flanagan
    The Ctr. for Comput. Aids for Industrial Productivity, Rutgers Univ., P.O. Box 1390, Piscataway, NJ 08855-1390
  • Joseph C. French
    The Ctr. for Comput. Aids for Industrial Productivity, Rutgers Univ., P.O. Box 1390, Piscataway, NJ 08855-1390

Abstract

<jats:p>In order to provide spatially selective sound capture in a teleconferencing environment, microphone array systems require accurate determination of the location of the desired source. Sound source location in turn relies on estimating time delay of arrival (TDOA) of a sound wavefront across a given microphone sensor pair. The cross-power spectrum phase (CPSP) method [M. Omologo and P. Svaizer, ICASSP 94] may be used for TDOA estimation. It is desirable to operate microphone array systems in untreated acoustical environments. Such an environment may produce multipath sound propagation and may contain moderate sources of interfering noise. The TDOA estimates computed using CPSP may become unreliable in such an environment. A strategy is presented to extract reliable TDOA information from the CPSP algorithm. The following measures are included: spectral weighting of the CPSP function based on knowledge of noise and sound source statistics, measuring the accuracy of the CPSP function by examining its shape, and evaluating the CPSP only when the captured signal has appropriate energy and spectral characteristics. This strategy enables less error-prone performance, and allows more effective utilization of computing resources in a constrained real-time system. Simulation and real-time results are presented to demonstrate system improvement.</jats:p>

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