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


Jawahar Annabattula

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.


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About this article

Title

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

Date

01-10-2016

Additional Links

Manuscript Submission

Journal

Innovare Journal of Engineering & Technology
Vol 4 Issue 4 2016 (October-December) Page: 14-19

Online ISSN

2347-1573

Statistics

31 Views | 58 Downloads

Authors & Affiliations

Jawahar Annabattula
Department of EEE Sanketika Institute of Technology and Management Visakhapatnam
India


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