AN INNOVATIVE APPROACH TO MORE RELIABLE AND AUTOMATED TARGET CLASSIFICATION FOR UNDERWATER MARITIME SURVEILLANCE


Jawahar Annabattula

Abstract


Target motion analysis (TMA) using conventional passive bearing together with frequency measurements is explored. This approach offers one tactical advantage over the classical bearings-only TMA. It makes the ownship maneuver superfluous. In this paper, TMA is carried out using Unscented Kalman Filter (UKF). Inclusion of range, course and speed parameterization is proposed in UKF target state vector to obtain the convergence of the solution fast. Finally the results of various scenarios in Monte-Carlo simulation are presented.


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About this article

Title

AN INNOVATIVE APPROACH TO MORE RELIABLE AND AUTOMATED TARGET CLASSIFICATION FOR UNDERWATER MARITIME SURVEILLANCE

Date

13-11-2017

Additional Links

Manuscript Submission

Journal

Innovare Journal of Sciences
Vol 5 Issue 5 2017 Page: 1-6

Online ISSN

2321-5496

Statistics

23 Views | 21 Downloads

Authors & Affiliations

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


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