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Open AccessArticle

A Novel Smooth Variable Structure Smoother for Robust Estimation

by Yu Chen 1, Luping Xu 1,*, Bo Yan 1,2 and Cong Li 3
1
School of Aerospace Science and Technology, Xidian University, Xi’an 710126, China
2
Department of Electrical, Electronic, and Information Engineering, University of Bologna, 47521 Cesena (FC), Italy
3
Academy of Space Electronic Information Technology, Xi’an 710100, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(6), 1781; https://doi.org/10.3390/s20061781
Received: 14 January 2020 / Revised: 11 March 2020 / Accepted: 19 March 2020 / Published: 23 March 2020
(This article belongs to the Section Remote Sensors, Control, and Telemetry)
The smooth variable structure filter (SVSF) is a new-type filter based on the sliding-mode concepts and has good stability and robustness in overcoming the modeling uncertainties and errors. However, SVSF is insufficient to suppress Gaussian noise. A novel smooth variable structure smoother (SVSS) based on SVSF is presented here, which mainly focuses on this drawback and improves the SVSF estimation accuracy of the system. The estimation of the linear Gaussian system state based on SVSS is divided into two steps: Firstly, the SVSF state estimate and covariance are computed during the forward pass in time. Then, the smoothed state estimate is computed during the backward pass by using the innovation of the measured values and covariance estimate matrix. According to the simulation results with respect to the maneuvering target tracking, SVSS has a better performance compared with another smoother based on SVSF and the Kalman smoother in different tracking scenarios. Therefore, the SVSS proposed in this paper could be widely applied in the field of state estimation in dynamic system. View Full-Text
Keywords: robust estimation; smooth variable structure filter; Kalman smoother; target tracking; uncertain system robust estimation; smooth variable structure filter; Kalman smoother; target tracking; uncertain system
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Chen, Y.; Xu, L.; Yan, B.; Li, C. A Novel Smooth Variable Structure Smoother for Robust Estimation. Sensors 2020, 20, 1781.

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