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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Detalles Bibliográficos
Autores principales: Gao, Bingbing, Hu, Gaoge, Gao, Shesheng, Zhong, Yongmin, Gu, Chengfan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855193/
https://www.ncbi.nlm.nih.gov/pubmed/29415509
http://dx.doi.org/10.3390/s18020488

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