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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Molecular Diversity Preservation International (MDPI)
2008
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| Materias: | |
| 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 |