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Optimal Recursive Data Processing Algorithm for Underwater Vehicle Localisation and Ranging


Affiliations
1 Department of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India
     

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Range and bearing measurements of underwater vehicle is obtained by helicopter which uses dunking sonar. Considering range and bearing measurements the target position is identified and target motion parameters are available to guide the weapon on the target vehicle. Target motion parameters are finally found by using Extended Kalman filter.  Present weapon parameters are initial turning angle, straight run distance and many other which are obtained using the known parameters like speed, course of the helicopter and the target motion parameters. Results of Monte Carlo simulation are shown which gives the better performances of the algorithm for typical scenarios using Matlab.

Keywords

Estimation, Stochastic, Bearing, Line of Sight, Kalman Filter, Sonar, Weapon.
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  • Optimal Recursive Data Processing Algorithm for Underwater Vehicle Localisation and Ranging

Abstract Views: 275  |  PDF Views: 2

Authors

A. Jawahar
Department of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India

Abstract


Range and bearing measurements of underwater vehicle is obtained by helicopter which uses dunking sonar. Considering range and bearing measurements the target position is identified and target motion parameters are available to guide the weapon on the target vehicle. Target motion parameters are finally found by using Extended Kalman filter.  Present weapon parameters are initial turning angle, straight run distance and many other which are obtained using the known parameters like speed, course of the helicopter and the target motion parameters. Results of Monte Carlo simulation are shown which gives the better performances of the algorithm for typical scenarios using Matlab.

Keywords


Estimation, Stochastic, Bearing, Line of Sight, Kalman Filter, Sonar, Weapon.



DOI: https://doi.org/10.36039/ciitaas%2F8%2F10%2F2016%2F132017.275-282