Nonlinear Kalman Filter Based Shop Floor RFID Data Fusion Algorithm

Kun Yuan, Cunbo Zhuang*, Jinshan Liu, Jindan Feng, Hui Xiong, Jiancheng Shi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Radio frequency identification (RFID) technology is one of the main means to obtain the location data of production elements such as personnel and materials in intelligent workshops, but its positioning accuracy has many uncertainties. In order to map the transportation trajectory of workshop materials in digital space more accurately, this paper adopts a nonlinear Kalman filter-based RFID data fusion algorithm. Firstly, the good estimation performance of nonlinear filters such as extended Kalman filter (EKF) and unscented Kalman filter (UKF) is utilized, and the motion process is determined by combining with the target dynamics model thus forming the fusion algorithm, and finally the data from multiple RFID readers are fused for path estimation and the final approximate trajectory is obtained. In the simulation experiments, after repeated experiments and comparison experiments with particle filter (PF) and Gauss-Hermite Kalman filter (GHKF) algorithms, it is found that the UKF-based fusion algorithm proves to have higher accuracy, and the EKF-based fusion algorithm has less computing time. In addition, the fusion performance of both methods is excellent in RFID readers sufficiency areas.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Computer Science and Application Engineering, CSAE 2022
EditorsAli Emrouznejad
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450396004
DOIs
Publication statusPublished - 21 Oct 2022
Event6th International Conference on Computer Science and Application Engineering, CSAE 2022 - Virtual, Online, China
Duration: 21 Oct 202222 Oct 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference6th International Conference on Computer Science and Application Engineering, CSAE 2022
Country/TerritoryChina
CityVirtual, Online
Period21/10/2222/10/22

Keywords

  • RFID
  • data fusion
  • indoor positioning
  • nonlinear Kalman filter

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