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...
Main Authors: | Muhammad Adeel Akram, Peilin Liu, Muhammad Owais Tahir, Waqas Ali, Yuze Wang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/7/1687 |
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