Addresses passive underwater target depth tracking of maneuvering targets in the vertical ocean plane. A state estimator has been developed and extensively tested to track a target which makes random depth variations. The algorithm processes noisy, passive sonar measurements of bottom/direct and surface/direct multipath time delays. The depth tracker utilizes a nonlinear prefilter to first linearize and then process these measurements. The advantages are twofold: (1) it partially decouples the range and depth estimators, considerably reducing the computation; and (2) it eliminates the use of all extended Kalman filters with their associated divergence problems. Instead, a conventional Kalman-Singer filter is used following the nonlinear signal processor, resulting in a robust tracker with a significant decrease in the complexity of the total algorithm. The cost that one pays is that the processed measurements contain nonstationary and non-Gaussian measurement errors.


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    Title :

    Passive depth tracking of underwater maneuvering targets


    Additional title:

    Passive Tiefenverfolgung von unter Wasser manoevrierenden Zielobjekten


    Contributors:


    Publication date :

    1985


    Size :

    5 Seiten, 12 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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