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
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