Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 35, Pages: 1-4
Jawahar Annabattula1*, S. Koteswara Rao1 , A. Sampath Dakshina Murthy2 , K. S. Srikanth1 and Rudra Pratap Das2
1 School of Electrical Sciences, KLEF, KL University, Guntur - 522502, Andhra Pradesh, India; [email protected], [email protected]
2 Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, India; [email protected], [email protected]
In underwater scenario, observer manoeuvre is required to find out target motion parameters in bearings only passive target tracking. Sometimes, due to tactical constraints, observer is not able to carry out manoeuvre. In this paper, it is shown that target motion parameters can be obtained in such situation, if the knowledge of any one of the target motion parameters is available. There are other practical problems like spurious bearings are generated by sonar, etc. In addition, auto tracking fails often and some bearings will be missed. Pseudo Linear Kalman Filter is made flexible to address these practical problems.
Keywords: Constrained Environment, Direction of Arrival Estimation, Kalman Filtering, Monte Carlo Simulation, Passive Target Tracking, Target Detection
Subscribe now for latest articles and news.