Multisensor information fusion scheme for particle filter | Zendy

Zhang Wei | Zendy; Zuo Junyi | Zendy; Guo Qing | Zendy; Ling Zhigang | Zendy

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Multisensor information fusion scheme for particle filter

Author(s) -

Zhang Wei,

Zuo Junyi,

Guo Qing,

Ling Zhigang

Publication year - 2015

Publication title -

electronics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 146

ISSN - 1350-911X

DOI - 10.1049/el.2014.3051

Subject(s) - particle filter , fusion , scheme (mathematics) , sensor fusion , computer science , information fusion , particle (ecology) , filter (signal processing) , electronic engineering , artificial intelligence , engineering , mathematics , computer vision , mathematical analysis , linguistics , philosophy , oceanography , geology

A two‐stage information fusion scheme is proposed for particle filter. Its main characteristic is that the multisensor data is fused not only in the likelihood model but also in the stage of importance sampling. By incorporating the multisensor data in sequence, the proposal density can be refined step by step; thus high‐quality particles and, consequently, a more accurate estimate can be obtained.

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