A test for detection of local modeling mismatches in shallow water.

Gidon S. Fostick, Joseph Tabrikian, Hagit Messer

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

Abstract

This paper presents a new, non-parametric test for detecting modeling mismatches in a propagation medium, as shallow water. The test is based on the fact that if there are no model uncertainties, the corresponding modal spectrum of the received signal is strictly band-limited to an a-priori known band. Any mismatches in the assumed model cause the modal spectrum out of this band to be non-zero. To make the test independent of the emitters characteristic we use the generalized likelihood ratio test which uses maximum likelihood estimate of the unknown modal spectrum. We demonstrate the operation of the proposed test by applying it (via computer simulations) to a complex, practical scenario.
Original languageEnglish GB
Title of host publication1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings
Pages3077-3080
Number of pages4
DOIs
StatePublished - 1996
Externally publishedYes

Keywords

  • sonar signal processing
  • acoustic waveguides
  • maximum likelihood estimation
  • underwater sound
  • acoustic signal detection
  • array signal processing
  • sonar arrays

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