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Underwater Target Tracking using Unscented Kalman Filter


Affiliations
1 Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, India
2 Department of ECE, K L University, Vaddeswaram, Guntur District - 522502, Andhra Pradesh, India
 

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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  • Underwater Target Tracking using Unscented Kalman Filter

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Authors

Mylapilli Nalini Santhosh
Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, India
S. Koteswara Rao
Department of ECE, K L University, Vaddeswaram, Guntur District - 522502, Andhra Pradesh, India
Rudra Pratap Das
Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, India
K. Lova Raju
Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, India

Abstract


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



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i31%2F135459