Barankin bounds for source localization in an uncertain ocean environment

Joseph Tabrikian, Jeffrey L. Krolik

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Ambiguity surfaces for underwater acoustic matched-field processing are prone to having high secondary peaks. This leads to anomalous source localization estimates below a threshold signal-to-noise ratio (SNR) at which the performance rapidly departs from that predicted by the Cramér-Rao lower bound (CRLB). In this paper, Barankln bounds are used to predict the threshold SNR under two different models including known or uncertain shallow-water environments and monochromatic or random narrowband sources. Evaluation of the Barankln bound suggests that although asymptotic localization performance degrades with increasing environmental uncertainty, the threshold SNR is relatively unaffected.

Original languageEnglish
Title of host publicationBayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking
PublisherWiley-IEEE Press
Pages529-539
Number of pages11
ISBN (Electronic)9780470544198
ISBN (Print)0470120959, 9780470120958
DOIs
StatePublished - 1 Jan 2007

Keywords

  • Arrays
  • Covariance matrix
  • Eigenvalues and eigenfunctions
  • Oceans
  • Position measurement
  • Signal to noise ratio
  • Uncertainty

ASJC Scopus subject areas

  • General Computer Science

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