Bayesian Cramér-Rao Lower Bounds for Prediction and Smoothing of Nonlinear TASD Systems

The performance evaluation of state estimators for nonlinear regular systems, in which the current measurement only depends on the current state directly, has been widely studied using the Bayesian Cramér-Rao lower bound (BCRLB). However, in practice, the measurements of many nonlinear systems are t...

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Detalles Bibliográficos
Autores principales: Li, Xianqing, Duan, Zhansheng, Tang, Qi, Mallick, Mahendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269523/
https://www.ncbi.nlm.nih.gov/pubmed/35808162
http://dx.doi.org/10.3390/s22134667

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269523/
https://www.ncbi.nlm.nih.gov/pubmed/35808162
http://dx.doi.org/10.3390/s22134667

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