Multiple-channel detection using generalized coherence

Douglas Cochran, Herbert Gish

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

11 Scopus citations

Abstract

The properties and performance of the generalized coherence (GC) estimate as a statistic for detecting the presence of a common but unknown signal on several noisy channels are examined. The H 0 distribution function of the GC estimate derived in earlier work is applied to develop detection thresholds corresponding to a range of false alarm probabilities for various numbers of channels and data sequence lengths. Results of simulations to determine the performance of a GC-based detector as a function of the signal-to-noise ratios on the data channels are presented.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherPubl by IEEE
Pages2883-2886
Number of pages4
Volume5
StatePublished - 1990
Event1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5) - Albuquerque, New Mexico, USA
Duration: Apr 3 1990Apr 6 1990

Other

Other1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5)
CityAlbuquerque, New Mexico, USA
Period4/3/904/6/90

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ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

Cochran, D., & Gish, H. (1990). Multiple-channel detection using generalized coherence. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 5, pp. 2883-2886). Publ by IEEE.