Towed array shape estimation using multimodel partitioning filters

The problem of towed array shape estimation is reformulated and shown to be mathematically equivalent to the problem of state estimation with abruptly changing bias of the plant noise process. An algorithm belonging to the family of adaptive multimodel partitioning algorithms is subsequently applied to this problem, and its performance is comparatively evaluated with that of nonadaptive algorithms previously proposed through simulation experiments.

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