Comparative Analysis of Non Linear Estimation Schemes used for Undersea Sonar Applications

Authors

  • JAWAHAR A Department of EEESanketika Institute of Technology and ManagementVisakhapatnam
  • VISHNU CHAKRAVARTHI CH

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.

Author Biography

JAWAHAR A, Department of EEESanketika Institute of Technology and ManagementVisakhapatnam

Department of EEE
Sanketika Institute of Technology and Management
Visakhapatnam

Published

2016-10-01

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

Issue

Section

Original Article(s)

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