论文信息 - Pseudo Linear Kalman Filter For Underwater Target Location Using Intercept Sonar Measurements

Pseudo Linear Kalman Filter For Underwater Target Location Using Intercept Sonar Measurements

Nardone, Lindgren and Gong introduced Pseudo Linear Estimator (PLE) using batch processing. The batch processing is converted into sequential processing by S. K. Rao to use for real time applications like passive target tracking using bearings-only measurements. The algorithm is evaluated with bearing measurements available from intercept sonar. The sonar on ownship (ship/submarine) is generating bearing measurements of the target (submarine/another ship) which is in active mode of transmission. As the process involves with periodic measurements, PLE developed by S. K. Rao is modified accordingly. The algorithm is tested in Monte-Carlo simulation and its results are presented for one typical scenario.

S.K. Rao

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