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

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2 Author(s)
Tantum, S.L. ; Dept. of Electr. Eng., Duke Univ., Durham, NC, USA ; Nolte, L.W.

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 (A.M. Richardson and L.W. Nolte, J. Acoust. Soc. Am. vol.89, no.5, 2280-4 (1991)), 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

Published in:

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on  (Volume:5 )

Date of Conference:

1999