Quantitative ambiquity analysis for matched-field source localization under spatially-correlated noise field

Research output: Contribution to journalConference article

10 Citations (Scopus)

Abstract

Matched-field methods find source location by matching the measured signal field with the modeled signal field. The resulted ambiguity output is often characterized by a multimodal structure. At high signal-to-noise ratio (SNR), the peak at the true source position is a global maximum and can be located accurately; below some threshold SNR, the true peak is easily obscured by other ambiguous peaks, leading to a significantly increased localization error. To analyze this threshold performance behavior, a quantitative approach for error analysis has previously been developed in the context of the maximum likelihood estimate (MLE) with spatially-white noise. In this paper, the same approach is generalized to work for spatially-correlated noise field introduced by discrete interferences and/or surface distribution sources.

Original languageEnglish (US)
Pages (from-to)922-927
Number of pages6
JournalOceans Conference Record (IEEE)
Volume2
StatePublished - Dec 1 2003
Externally publishedYes
EventCelabrating the Past... Teaming Toward the Future - San Diego, CA., United States
Duration: Sep 22 2003Sep 26 2003

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signal-to-noise ratio
quantitative analysis
white noise
field method
error analysis
distribution

ASJC Scopus subject areas

  • Oceanography

Cite this

Quantitative ambiquity analysis for matched-field source localization under spatially-correlated noise field. / Xu, Wen; Richmond, Christ.

In: Oceans Conference Record (IEEE), Vol. 2, 01.12.2003, p. 922-927.

Research output: Contribution to journalConference article

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