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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...
Autores principales: | Akram, Muhammad Adeel, Liu, Peilin, Tahir, Muhammad Owais, Ali, Waqas, Wang, Yuze |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
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 |
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