NDLI: Multirate Interacting Multiple Model Algorithm Combined with Particle Filter for Nonlinear/Non-Gaussian Target Tracking

Content Provider	IEEE Xplore Digital Library
Author	Guixi Liu Enke Gao Chunyu Fan
Copyright Year	2006
Description	Author affiliation: Dept. of Autom., Xidian Univ., Xi'an (Guixi Liu; Enke Gao; Chunyu Fan)
Abstract	In this paper, we propose a new interacting multiple model (IMM) algorithm combined with particle filter for nonlinear/non-Gaussian systems, which adopts the multirate technique to improve the computational efficiency. The interacting multiple model (IMM) algorithm is specially designed to track accurately targets, and the particle filter is aim to deal with nonlinear/non-Gaussian problems. But the problem of a particle filter is its expensive computation, especially when it is introduced into the IMM algorithm. Here, the multirate technique is to solve this problem and not making the performance of the algorithm bad. The experimental results show the multirate IMMPF (IMM particle filter) works as well as IMMPF with much lower computation load.
Sponsorship	VRSJ (Japan)
Starting Page	298
Ending Page	301
File Size	258751
Page Count	4
File Format	PDF
ISBN	076952754X
DOI	10.1109/ICAT.2006.92
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Target tracking Automation multirate Steady-state particle filter Particle tracking Equations computation nonlinear/non-Gaussian target tracking interacting multiple model Filtering algorithms Particle filters Computational efficiency Performance analysis
Content Type	Text
Resource Type	Article

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