• DocumentCode
    572481
  • Title

    An improved PSO-based algorithm for extracting week coupling AC signal in electromagnetic localization system

  • Author

    Wang, Wenhu ; Hu, Chao ; Lin, Weixing ; Bao, Jianmeng

  • Author_Institution
    Ningbo Inst. of Technol., Zhejiang Univ., Ningbo, China
  • fYear
    2012
  • fDate
    15-17 Aug. 2012
  • Firstpage
    623
  • Lastpage
    627
  • Abstract
    The AC electromagnetic localization method is often used to locate the position of the objective such as the moving robot or vehicle. This technique must extract the coupling magnetic signals between the source and the receiving magnetic coils, because the localization algorithm determines objective´s position and orientation by the intensities or the phases of the coupling signals. This extraction must be accurate to ensure the localization precision. However, these couplings voltage signals are very week and easily affected by interferences, so high efficient and robust extraction method is essential. In this paper, we present rapid particle swarm optimization (PSO) algorithm to accurately extract this coupling signal. Through the simulation and serious comparisons, we found that PSO algorithm has higher accuracy and faster speed than the least square (LS) method, especially in cases with high noises. We show the simulation results that are satisfactory to extract the coupling voltage signals.
  • Keywords
    coils; electromagnetic devices; particle swarm optimisation; AC electromagnetic localization method; PSO-based algorithm; coupling magnetic signal; coupling signal extraction; electromagnetic localization system; extraction method; magnetic coil; moving robot; particle swarm optimization algorithm; position localization; vehicle; week coupling AC signal; Accuracy; Chaos; Coils; Couplings; Electromagnetics; Noise; Sensors; AC Signal Extraction; Magnetic Localization; PSO Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics (ICAL), 2012 IEEE International Conference on
  • Conference_Location
    Zhengzhou
  • ISSN
    2161-8151
  • Print_ISBN
    978-1-4673-0362-0
  • Electronic_ISBN
    2161-8151
  • Type

    conf

  • DOI
    10.1109/ICAL.2012.6308153
  • Filename
    6308153