One-dimensional Kalman filter for estimating target position

목표물 위치추정을 위한 1차원 Kalman filter

By using the least square input estimator and a likelihood ratio technique, an one-dimensional tracking problem is presented. A Kalman tracking filter based on constant-velocity model is used to track a target and the filtered estimate is updated with an input estimate when a maneuver is detected. The simulation results show that there are significant improvements using the scheme presented here.