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In a realistic application of matched field processing for source localization, the ability to localize an acoustic source is strongly affected by the uncertainty of the environment. However, accurate environment measurement is a difficult task in large regions of the ocean. We employ a Bayesian approach, referred to here as focalization, to overcome the mismatch by including the environment in the parameter search space. Focalization maximizes the posterior probability density over the unknown source and environmental parameters. The broadband signals recorded by a vertical line array in a Yellow Sea experiment are presented to demonstrate the feasibility of focalization. [ABSTRACT FROM AUTHOR]