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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