Fusion of Radar and Infrared Search amp; Track Sensor Data using Kalman Filter

Mathematical Models for radar and IRST sensor are presented. Extended Kalman13; filter is used for tracking and state vector fusion methodology is developed. The13; performance of this algorithm is evaluated using simulated data and performance13; metrics. It is concluded that finite difference method and partial derivative method13; performed similarly. It is also concluded from the results that fusion of IRST and13; radar would improve the tracking performance and reduce the positional uncertainty13; compared to individual trackers