Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 31, Pages: 1-5
Mylapilli Nalini Santhosh1*, S. Koteswara Rao2 , Rudra Pratap Das1 and K. Lova Raju1
1 Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, India; [email protected], [email protected], [email protected]
2 Department of ECE, K L University, Vaddeswaram, Guntur District - 522502, Andhra Pradesh, India; [email protected]
For bearing and frequency measurements based on Kalman Filters in Sonar noisy situations often create problem. In our paper TMA is used based on Unscented Kalman Filter (UKF) to track target in noisy measurements. Target trajectory is explored through using this technique. The major benefit of this technique is that it provides tactical superiors over the classical bearings techniques overall, observer maneuver is rendered unnecessary. Target motion parameters can be extended for further improvement of their techniques.
Keywords: Kalman Filter, Passive Target Tracking, Target Motion Analysis, Target Motion Parameters, Unscented Kalman Filter
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