A survey of maneuvering target tracking: approximation techniques for nonlinear filtering

Xiao-Rong Li; Vesselin P. Jilkov

doi:10.1117/12.553357

25 August 2004 A survey of maneuvering target tracking: approximation techniques for nonlinear filtering

Xiao-Rong Li, Vesselin P. Jilkov

Proceedings Volume 5428, Signal and Data Processing of Small Targets 2004; (2004) https://doi.org/10.1117/12.553357
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

This is a part of Part VI (nonlinear filtering) of a series of papers that provide a comprehensive survey of techniques for tracking maneuvering targets without addressing the so-called measurement-origin uncertainty. Part I [52] and Part II [48] deal with target motion models. Part III [49], Part IV [50], and Part V [51] cover measurement models, maneuver detection based techniques, and multiple-model methods, respectively. This part surveys approximation techniques for point estimation of nonlinear dynamic systems that are general, applicable to a wide spectrum of nonlinear filtering problems, especially those in the context of maneuvering target tracking. Three classes of such techniques are survey here: function approximation, moment approximation, and stochastic model approximation.

Citation Download Citation

Xiao-Rong Li and Vesselin P. Jilkov "A survey of maneuvering target tracking: approximation techniques for nonlinear filtering", Proc. SPIE 5428, Signal and Data Processing of Small Targets 2004, (25 August 2004); https://doi.org/10.1117/12.553357

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