A State Optimization Model Based on Kalman Filtering and Robust Estimation Theory for Fusion of Multi-Source Information in Highly Non-linear Systems

Consistent state estimation is a vital requirement in numerous real life applications from localization to multi-source information fusion. The Kalman filter and its variants have been successfully used for solving state estimation problems. Kalman filtering-based estimators are dependent upon syste...

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Detalles Bibliográficos
Autores principales: Akram, Muhammad Adeel, Liu, Peilin, Tahir, Muhammad Owais, Ali, Waqas, Wang, Yuze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479802/
https://www.ncbi.nlm.nih.gov/pubmed/30970607
http://dx.doi.org/10.3390/s19071687

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479802/
https://www.ncbi.nlm.nih.gov/pubmed/30970607
http://dx.doi.org/10.3390/s19071687

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