Comparison of MGBEKF and UKF Algorithms for Bearings-Only Tracking
Kausar Jahan · International Journal of Emerging Trends in Engineering Research · 2019
Inactive target tracking using bearings-only measurements is a crucial issue of underwater tracking.Target Motion Analysis (TMA) process is highly non-linear so the non linear algorithms like Modified Gain Bearings-only Extended Kalman Filter (MGBEKF) and Unscented Kalman Filter (UKF) are implemented and their performance is evaluated based on their solution convergence times.It is presumed that the target is moving in straight line path with constant speed.The algorithms are simulated for several scenarios which are close to reality using MATLAB.Monte-Carlo runs are performed to evaluate the capability of the algorithms.