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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

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

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