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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...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5855193/ https://ncbi.nlm.nih.gov/pubmed/29415509 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18020488 |
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