Model for Target Tracking in the Presence of Geographic Constraints

摘要

This report presents an alternative modeling technique that approximates theinadmissible region (the landmass) using a sum of analytic functions. A non-homogeneous process noise field is employed to model the uncertainty associated with a target's evasive maneuver as it approaches the constraint boundary. This non-homogeneous process noise field is used in conjunction with standard Kalman filter equations to predict and track targets in the vicinity of the constraint; a windowed Gaussian probability density is used to describe estimation uncertainty. Results for scaled simulations are presented.