Open AccessMultisensor 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 , sensor fusion , scheme (mathematics) , filter (signal processing) , computer science , sequence (biology) , sampling (signal processing) , artificial intelligence , particle (ecology) , algorithm , data mining , mathematics , computer vision , mathematical analysis , linguistics , philosophy , oceanography , biology , genetics , 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.