Variational Bayesian Algorithms for Maneuvering Target Tracking with Nonlinear Measurements in Sensor Networks

The variational Bayesian method solves nonlinear estimation problems by iteratively computing the integral of the marginal density. Many researchers have demonstrated the fact its performance depends on the linear approximation in the computation of the variational density in the iteration and the d...

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Detalles Bibliográficos
Autores principales: Hu, Yumei, Pan, Quan, Deng, Bao, Guo, Zhen, Li, Menghua, Chen, Lifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453888/
https://www.ncbi.nlm.nih.gov/pubmed/37628265
http://dx.doi.org/10.3390/e25081235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453888/
https://www.ncbi.nlm.nih.gov/pubmed/37628265
http://dx.doi.org/10.3390/e25081235

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