Abstract
Abstract Approximate maximum-likelihood estimates for locating of wide band sources in the presence of partly unknown noise fields are developed. Alternatively, two least squares methods fitting a parametric model of the spectral density matrix to a corresponding nonparametric estimate are investigated. Furthermore, applying the expectation maximization (EM) algorithm, a computationally robust iteration scheme for maximizing the log-likelihood function is derived. Using wide band data from a North Sea experiment, we compare the performance of the maximum likelihood method via the EM algorithm with the MUSIC algorithm combined with the rotational signal-subspace (RSS) focussing technique.
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