Simulation Study of Kalman Filter in Target Tracking Applications
Simulation study of Kalman filter applications in target tracking. Subfunctions implement Kalman filtering for tracking moving target positions, while the main function performs tracking based on specific assumptions and Monte Carlo simulations. Scenario setup: A two-coordinate radar observes a target moving on a plane with constant velocity motion along the x-axis at 15 m/s from 0-600 seconds, starting from (-10000 m, 2000 m). Radar scan period T=2 seconds, with independent x and y observations having observation noise standard deviation of 100 meters each.