Comparative Analysis of Non Linear Estimation Schemes used for Undersea Sonar Applications
Abstract
   The performance evaluation of various passive underwater target tracking algorithms like Pseudo Linear Estimator, Maximum Likelihood Estimator, Modified Gain Bearings-only Extended Kalman Filter, Unscented Kalman Filter, Parameterized Modified Gain Bearings-only Extended Kalman Filter and Particle Filter coupled with Modified Gain Bearings-only Extended Kalman Filter using bearings-only measurements is carried out with various scenarios in Monte Carlo Simulation. The performance of Parameterized Modified Gain Bearings-only Extended Kalman Filter is found to be better than all estimates.
Published
01-10-2016
How to Cite
JAWAHAR A, & VISHNU CHAKRAVARTHI CH. (2016). Comparative Analysis of Non Linear Estimation Schemes used for Undersea Sonar Applications. Innovare Journal of Engineering and Technology, 4(4), 14–19. Retrieved from https://innovareacademics.in/journals/index.php/ijet/article/view/14617
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Original Article(s)