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

S. Koteswara Rao

Abstract:	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.
Published in:	Proceedings of IEEE/ION PLANS 2006 April 25 - 27, 2006 Loews Coronado Resort Hotel San Diego, CA
Pages:	1036 - 1039
Cite this article:	Rao, S. Koteswara, "Pseudo Linear Kalman Filter For Underwater Target Location Using Intercept Sonar Measurements," Proceedings of IEEE/ION PLANS 2006, San Diego, CA, April 2006, pp. 1036-1039. https://doi.org/10.1109/PLANS.2006.1650706
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