The ability of Towed Linear hydrophone Arrays (TLA) to detect submarine-emitted narrow band tonals makes them the submarine tracking sensor of choice. Recent TLA improvements allow surface ships, Unmanned Underwater Vehicles (UUVs), Unmanned Surface Vehicles (USVs), and submarines alike to detect modern submarines by towing arrays. Allowing the full spectrum of Navy assets access into the Anti-submarine Warfare (ASW) arena is vital to countering future submerged threats. The generation of dynamic TLA and state estimation models in Simulink is detailed in this thesis. The dynamic TLA model receives user-specified TLA parameters and performs Dolph-Chebyshev optimization to form a set of beams which are steered for tracking. The TLA parameters can be specified to meet the needs of the towing vehicle, whether it is a submarine, ship, USV or UUV. The state estimation model uses outputs received from a mobile platform towing an array to estimate the target state. The state estimation model uses both bearing-only and Doppler-bearing Extended Kalman Filters to estimate target state. These models provide a basic platform which can be used to enhance ASW capabilities. Specifically, the models can aid in determining optimal future ASW-asset allocation, improving TLA tracking algorithms, and improving information presented to submarine operators.


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    Title :

    Dynamic Towed Array Models and State Estimation for Underwater Target Tracking


    Contributors:

    Publication date :

    2013


    Size :

    125 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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