Globally Optimal Multisensor Distributed Random Parameter Matrices Kalman Filtering Fusion with Applications

This paper proposes a new distributed Kalman filtering fusion with random state transition and measurement matrices, i.e., random parameter matrices Kalman filtering. It is proved that under a mild condition the fused state estimate is equivalent to the centralized Kalman filtering using all sensor...

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Detalles Bibliográficos
Autores principales: Luo, Yingting, Zhu, Yunmin, Luo, Dandan, Zhou, Jie, Song, Enbin, Wang, Donghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2008
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791008/
https://www.ncbi.nlm.nih.gov/pubmed/27873977
http://dx.doi.org/10.3390/s8128086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791008/
https://www.ncbi.nlm.nih.gov/pubmed/27873977
http://dx.doi.org/10.3390/s8128086

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