Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 28, Pages: 1-6
A. Sampath Dakshina Murthy1* , S. Koteswara Rao2 , K. Srinavasa Naik1 , Rudra Pratap Das1 , Kausar Jahan1 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], [email protected], [email protected]
2 Department of ECE, K L University, Vaddeswaram, Guntur District - 522502, Andhra Pradesh, India; [email protected]
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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