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

• Published in: 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258) Vol. 5; pp. 2777 - 2780 vol.5
• Main Authors: Tantum, S.L., Nolte, L.W.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 1999
• Subjects: Acoustic arrays; Bayesian methods; Frequency estimation; Gaussian noise; Narrowband; Oceans; Parameter estimation; Phased arrays; Sea measurements; Signal to noise ratio
• ISBN: 0780350413; 9780780350410
• ISSN: 1520-6149; 2379-190X
• DOI: 10.1109/ICASSP.1999.761322

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.