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Proceedings Paper

Efficient multirate interacting multiple model particle filter (MRIMM-PF) for target tracking
Author(s): Lang Hong; Michael Bakich; Jeffery R. Layne
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Paper Abstract

In many cases, tracking ground targets can be formulated as a nonlinear filtering problem when terrain and road constraints are incorporated into system modeling and polar coordinate is used. Furthermore, when tracking ground maneuvering targets with an interacting multiple model (IMM) approach, a non-Gaussian problem exists due to an inherent mixing operation. A multirate interacting multiple model particle filter (MRIMM-PF) is presented in this paper to effectively solve the problem of nonlinear and non-Gaussian tracking, with an emphasis on computational savings.

Paper Details

Date Published: 9 May 2006
PDF: 12 pages
Proc. SPIE 6229, Intelligent Computing: Theory and Applications IV, 62290S (9 May 2006); doi: 10.1117/12.665260
Show Author Affiliations
Lang Hong, Wright State Univ. (United States)
Michael Bakich, Air Force Research Lab. (United States)
Jeffery R. Layne, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 6229:
Intelligent Computing: Theory and Applications IV
Kevin L. Priddy; Emre Ertin, Editor(s)

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