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Stochastic Control of a Passive Search for Ocean Vehicles,
MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR INFORMATION AND DECISION SYSTEMS
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The problem of selecting a maneuver policy for single-platform bearings only search and localization in the ocean is viewed as a stochastic optimal control problem. A solution is developed based on a realistic environment model and extended Kalman filter tracker. Simulation results highlight the dominance of engagement geometry e.g. direct-path vs. convergence zone over maneuver policy with respect to total performance. Author
APPROVED FOR PUBLIC RELEASE