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Abstract
Traditional matched field processing is typically employed for localization of a source with unknown amplitude and phase at transmission. The spectral information of the source is estimated via maximum likelihood and is used for localization with the Bartlett processor. Maximum a posteriori estimation of the spectrum of the source is here proposed along with the estimation of source location and noise variance, where the joint posterior probability distribution of all parameters is computed with Gibbs sampling. It is shown that the proposed method has a higher probability of correct localization than the traditional approach.
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