Effects of signal-to-noise ratio mismatch on Bayesian matched-field source localization performance


Journal Article

The signal-to-noise ratio of real data is rarely known with complete certainty. However, Bayesian matched-field processing techniques for ocean acoustic source localization often require the signal-to-noise ratio (SNR) to be known a priori. In this paper, the effects of SNR mismatch on the performance of a Bayesian matched-field source localization method, the optimum uncertain field processor, are investigated. Theoretical and empirical analyses show that when the maximum a posteriori (MAP) estimate is utilized as the source location estimate, the localization performance is unaffected by the uncertainty regarding the SNR, provided that the assumed SNR is sufficiently high.

Duke Authors

Cited Authors

  • Tantum, SL; Nolte, LW

Published Date

  • January 1, 1999

Published In

Volume / Issue

  • 5 /

Start / End Page

  • 2777 - 2780

International Standard Serial Number (ISSN)

  • 0736-7791

Citation Source

  • Scopus