Stochastic Control of a Passive Search for Ocean Vehicles,

Abstract

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)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1983
Accession Number
ADP002907

Entities

People

  • G. Z. Wilhoit
  • R. R. Tenney

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Convergence
  • Convergence Zones (Sonar)
  • Environment
  • Filters
  • Geometry
  • Kalman Filters
  • Maneuvers
  • Massachusetts
  • Mathematics
  • Military Research
  • Platforms
  • Simulations
  • Stochastic Control
  • Workshops

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Sensor Fusion and Tracking Systems.