An Overdispersed Black-Box Variational Bayesian–Kalman Filter with Inaccurate Noise Second-Order Statistics

Aimed at the problems in which the performance of filters derived from a hypothetical model will decline or the cost of time of the filters derived from a posterior model will increase when prior knowledge and second-order statistics of noise are uncertain, a new filter is proposed. In this paper, a...

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Detalles Bibliográficos
Autores principales: Cao, Lin, Zhang, Chuyuan, Zhao, Zongmin, Wang, Dongfeng, Du, Kangning, Fu, Chong, Gu, Jianfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624531/
https://www.ncbi.nlm.nih.gov/pubmed/34833746
http://dx.doi.org/10.3390/s21227673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624531/
https://www.ncbi.nlm.nih.gov/pubmed/34833746
http://dx.doi.org/10.3390/s21227673

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