Information Geometric Approach to Multisensor Estimation Fusion | Zendy

Mengjiao Tang | Zendy; Yao Rong | Zendy; Jie Zhou | Zendy; X. Rong Li | Zendy

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Information Geometric Approach to Multisensor Estimation Fusion

Author(s) -

Mengjiao Tang,

Yao Rong,

Jie Zhou,

X. Rong Li

Publication year - 2018

Publication title -

ieee transactions on signal processing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.638

H-Index - 270

eISSN - 1941-0476

pISSN - 1053-587X

DOI - 10.1109/tsp.2018.2879035

Subject(s) - geodesic , information geometry , mathematics , statistical manifold , metric (unit) , covariance , algorithm , covariance intersection , parametric statistics , manifold (fluid mechanics) , intersection (aeronautics) , estimation of covariance matrices , statistics , geometry , mechanical engineering , operations management , scalar curvature , curvature , economics , engineering , aerospace engineering

Distributed estimation fusion is concerned with the combination of local estimates from multiple distributed sensors to produce a fused result. In this paper, we characterize local estimates as posterior probability densities, and assume that they all belong to a parametric family. Our starting point is to consider this family as a Riemannian manifold by introducing the Fisher information metric. ...

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