A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Kiran, S. S.
- Advanced Statistically Robust Estimation Algorithm for Underwater Vehicle Localization and Ranging for Sonar Applications
Authors
1 Department of Basic Sciences and Humanities, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh-530041, IN
2 Department of Electrical and Electronics Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh-530041, IN
3 Department of Electronics and Communication Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh-530041, IN
Source
Indian Journal of Automation and Artificial Intelligence, Vol 4, No 1 (2017), Pagination: 1-14Abstract
Objectives: 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.
Methods/Statistical analysis: 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.
Findings: Results of Monte Carlo simulation are shown which gives the better performances of the algorithm for typical scenarios using Matlab.
Application/Improvements: The proposed algorithm can be used for undersea sonar based applications.
Keywords
Estimation, Stochastic, Bearing, Line of Sight, Kalman Filter, Sonar, Weapon.Full Text
References
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