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Passive Target Tracking using Intercept Sonar Measurements


Affiliations
1 KarishmaSchool of Electrical Sciences, KL University, Vaddeswaram – 522502, Andhra Pradesh, India
 

Intercept sonar of ownship is used to track a target, which is assumed to be doing active transmission for detecting a target in underwater. The ownship intercepts the active transmissions and generates bearing measurements of the target. The measurement interval between generated bearings in intercept mode is not constant and so closed loop estimators like Kalman filter is not useful to find out target motion parameters. So, sub-optimal estimator like Pseudo Linear Estimator (PLE) is used. Recursive PLE developed by S. K. Rao is modified to suit this application. The algorithm is tested in Monte-Carlo simulation and its results are presented for two typical scenarios.


Keywords

Bearings-Only Measurements, Estimation, Intercept Measurements, Kalman Filter, Target Tracking
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  • Passive Target Tracking using Intercept Sonar Measurements

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Authors

B. Omkar Lakshmi Jagan
KarishmaSchool of Electrical Sciences, KL University, Vaddeswaram – 522502, Andhra Pradesh, India
S. Koteswara Rao
KarishmaSchool of Electrical Sciences, KL University, Vaddeswaram – 522502, Andhra Pradesh, India
A. Jawahar
KarishmaSchool of Electrical Sciences, KL University, Vaddeswaram – 522502, Andhra Pradesh, India
S. K. B. Karishma
KarishmaSchool of Electrical Sciences, KL University, Vaddeswaram – 522502, Andhra Pradesh, India

Abstract


Intercept sonar of ownship is used to track a target, which is assumed to be doing active transmission for detecting a target in underwater. The ownship intercepts the active transmissions and generates bearing measurements of the target. The measurement interval between generated bearings in intercept mode is not constant and so closed loop estimators like Kalman filter is not useful to find out target motion parameters. So, sub-optimal estimator like Pseudo Linear Estimator (PLE) is used. Recursive PLE developed by S. K. Rao is modified to suit this application. The algorithm is tested in Monte-Carlo simulation and its results are presented for two typical scenarios.


Keywords


Bearings-Only Measurements, Estimation, Intercept Measurements, Kalman Filter, Target Tracking



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i12%2F132152