Kullback–Leibler Divergence Based Distributed Cubature Kalman Filter and Its Application in Cooperative Space Object Tracking

In this paper, a distributed Bayesian filter design was studied for nonlinear dynamics and measurement mapping based on Kullback–Leibler divergence. In a distributed structure, the nonlinear filter becomes a challenging problem, since each sensor cannot access the global measurement likelihood funct...

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Detalles Bibliográficos
Autores principales: Hu, Chen, Lin, Haoshen, Li, Zhenhua, He, Bing, Liu, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512609/
https://www.ncbi.nlm.nih.gov/pubmed/33265207
http://dx.doi.org/10.3390/e20020116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512609/
https://www.ncbi.nlm.nih.gov/pubmed/33265207
http://dx.doi.org/10.3390/e20020116

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