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Tracking of a Manoeuvering Target Ship using Radar Measurements


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 on sea water measurements of range on bearing in naval operations various types of Kalman filters including extended Kalman filter have been used. In this paper ,input estimation techniques applied normally to in air applications are applied to on sea measurements using chi – square distribution random sequence residual techniques. In which the algorithm estimates target motion parameters covering maneuvering. After detecting the target maneuvering, the algorithm corrects the velocity and position components based on acceleration noise input estimation method. Monte – Carlo simulation has proved the efficiency of the method. Practical applications of these methods are quite immense. Further test can be carried out on such cases.

Keywords

Chi-Square Distribution, Extended Kalman Filter, Linear Maneuvering, Monte-Carlo Simulator, Radar Measurements
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  • Tracking of a Manoeuvering Target Ship using Radar Measurements

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Authors

A. Sampath Dakshina Murthy
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
K. Srinavasa Naik
Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, India
Rudra Pratap Das
Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, India
Kausar Jahan
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 on sea water measurements of range on bearing in naval operations various types of Kalman filters including extended Kalman filter have been used. In this paper ,input estimation techniques applied normally to in air applications are applied to on sea measurements using chi – square distribution random sequence residual techniques. In which the algorithm estimates target motion parameters covering maneuvering. After detecting the target maneuvering, the algorithm corrects the velocity and position components based on acceleration noise input estimation method. Monte – Carlo simulation has proved the efficiency of the method. Practical applications of these methods are quite immense. Further test can be carried out on such cases.

Keywords


Chi-Square Distribution, Extended Kalman Filter, Linear Maneuvering, Monte-Carlo Simulator, Radar Measurements



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i28%2F121330