{"title":"电磁定位系统中周耦合交流信号提取的改进粒子群算法","authors":"Wenhu Wang, Chao Hu, Weixing Lin, Jianmeng Bao","doi":"10.1109/ICAL.2012.6308153","DOIUrl":null,"url":null,"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.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"25 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An improved PSO-based algorithm for extracting week coupling AC signal in electromagnetic localization system\",\"authors\":\"Wenhu Wang, Chao Hu, Weixing Lin, Jianmeng Bao\",\"doi\":\"10.1109/ICAL.2012.6308153\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":373152,\"journal\":{\"name\":\"2012 IEEE International Conference on Automation and Logistics\",\"volume\":\"25 5\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Automation and Logistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAL.2012.6308153\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Automation and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAL.2012.6308153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved PSO-based algorithm for extracting week coupling AC signal in electromagnetic localization system
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.