International Journal of Engineering and Technology

The work focuses on deployment of novel underwater target estimation algorithm to determine the kinematic state of the target. The Target Motion Parameters (TMP) are found out using bearings-only measurements. If one of the target motion parameters is known, then the rest of them can be found out using the known parameter. The Pseudo Linear Estimator (PLE) algorithm is considered in this paper which is one of the simplest estimation algorithms is presented in this paper to estimate TMP. It is assumed that target speed is known by some means, then the target course and range is obtained using PLE. PLE incorporates the basic features of Kalman filter like sequentially processing, variance included in measurement. The Monte-Carlo simulation is carried out for the tactical geometries and various results demonstrate the superiority of PLE over it’s peers for underwater target tracking applications.