Rao-Blackwellized Particle Filters With Out-of-Sequence Measurement Processing

This paper addresses the out-of-sequence measurement (OOSM) problem for mixed linear/nonlinear state-space models, which is a class of nonlinear models with a tractable, conditionally linear substructure. We develop two novel algorithms that utilize the linear substructure. The first algorithm effec...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 62; no. 24; pp. 6454 - 6467
Main Authors:	Berntorp, Karl, Robertsson, Anders, Arzen, Karl-Erik
Format:	Journal Article
Language:	English
Published:	New York IEEE 15.12.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Algorithms Atmospheric measurements Computer simulation Control Engineering Electrical Engineering, Electronic Engineering, Information Engineering Elektroteknik och elektronik Engineering and Technology Filtering Filtration Heuristic Nonlinearity Out-of-sequence measurement (OOSM) particle filtering Particle measurements Radar tracking Rao-Blackwellization Reglerteknik Sensors Signal processing algorithms Simulation State-space methods Substructures Target tracking Teknik Tracking
ISSN:	1053-587X, 1941-0476, 1941-0476
Online Access:	Get full text
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