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Multi-Sensor Optimal Data Fusion Based on the Adaptive Fading Unscented Kalman Filter
This paper presents a new optimal data fusion methodology based on the adaptive fading unscented Kalman filter for multi-sensor nonlinear stochastic systems. This methodology has a two-level fusion structure: at the bottom level, an adaptive fading unscented Kalman filter based on the Mahalanobis di...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855193/ https://www.ncbi.nlm.nih.gov/pubmed/29415509 http://dx.doi.org/10.3390/s18020488 |