More Reliable and Automated Target Localisation when Tracking Low Signature Targets in Areas with Heavy Shipping

In maritime environment, the surveillance plays a major role. Tracking underwater targets is a focused application area in modern underwater defence systems. The passive target tracking using bearings-only measurements is studied for several underwater applications. Many estimation algorithms have been formulated in recent years for accurate and reliable target estimation and localization using passive acoustic noisy measurements .The aim of this paper is to track the target even though the range measurements are not available. Modified gain angles-only extended Kalman filter (MGAEKF) is used for bearing and elevation target tracking. The mathematical modeling and simulation have been carried out. It is shown that MGAEKF algorithm effectively tracks the target in underwater environment.