A Novel Smooth Variable Structure Smoother for Robust Estimation
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) b...
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MDPI AG
2020-03-01
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Online Access: | https://www.mdpi.com/1424-8220/20/6/1781 |
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author | Yu Chen Luping Xu Bo Yan Cong Li |
author_facet | Yu Chen Luping Xu Bo Yan Cong Li |
author_sort | Yu Chen |
collection | DOAJ |
description | 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. |
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institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-13T06:37:35Z |
publishDate | 2020-03-01 |
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series | Sensors |
spelling | doaj.art-7d2e001ce05644d2b040d50c322783322022-12-22T02:57:51ZengMDPI AGSensors1424-82202020-03-01206178110.3390/s20061781s20061781A Novel Smooth Variable Structure Smoother for Robust EstimationYu Chen0Luping Xu1Bo Yan2Cong Li3School of Aerospace Science and Technology, Xidian University, Xi’an 710126, ChinaSchool of Aerospace Science and Technology, Xidian University, Xi’an 710126, ChinaSchool of Aerospace Science and Technology, Xidian University, Xi’an 710126, ChinaAcademy of Space Electronic Information Technology, Xi’an 710100, ChinaThe 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.https://www.mdpi.com/1424-8220/20/6/1781robust estimationsmooth variable structure filterkalman smoothertarget trackinguncertain system |
spellingShingle | Yu Chen Luping Xu Bo Yan Cong Li A Novel Smooth Variable Structure Smoother for Robust Estimation Sensors robust estimation smooth variable structure filter kalman smoother target tracking uncertain system |
title | A Novel Smooth Variable Structure Smoother for Robust Estimation |
title_full | A Novel Smooth Variable Structure Smoother for Robust Estimation |
title_fullStr | A Novel Smooth Variable Structure Smoother for Robust Estimation |
title_full_unstemmed | A Novel Smooth Variable Structure Smoother for Robust Estimation |
title_short | A Novel Smooth Variable Structure Smoother for Robust Estimation |
title_sort | novel smooth variable structure smoother for robust estimation |
topic | robust estimation smooth variable structure filter kalman smoother target tracking uncertain system |
url | https://www.mdpi.com/1424-8220/20/6/1781 |
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