INVESTIGATION OF TARGET MOTION PARAMETERS USING OPTIMAL RECURSIVE ESTIMATION TECHNIQUE FROM PASSIVE SONAR IN UNDERWATER NAVIGATION SYSTEMS


Jawahar Annabattula

Abstract


In under water an observer pre-processes the noisy bearing measurements available from passive sonar and then the data is used by Kalman filter to find out target motion parameters. The pre-processing reduces the amplitude of the noise, replaces the missed bearings with estimated bearings, supplies the estimated bearings if the bearing measurement is not available or incorrect and finally it finds out mean and variance of the noisy data. The statistical characteristics of the data are used in Kalman filter which finds out the target motion parameters. On line estimation of bearing measurement is carried out using Pseudo linear estimator. Finally, the whole algorithm is evaluated in Monte- Carlo simulation and the results for one typical scenario are presented.


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About this article

Title

INVESTIGATION OF TARGET MOTION PARAMETERS USING OPTIMAL RECURSIVE ESTIMATION TECHNIQUE FROM PASSIVE SONAR IN UNDERWATER NAVIGATION SYSTEMS

Date

31-12-2016

Additional Links

Manuscript Submission

Journal

Innovare Journal of Engineering & Technology
Vol 5 Issue 1 2017(January-February) Page: 28-33

Online ISSN

2347-1573

Statistics

73 Views | 69 Downloads

Authors & Affiliations

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


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