{"title":"基于线性回归的磁传感器阵列定位方法","authors":"Jiaqi Li, Jin Xiao, Zhijie Zhang, Dan Sun","doi":"10.1109/ICIEA.2017.8282827","DOIUrl":null,"url":null,"abstract":"In this paper, a new positioning method based on magnetic sensor array is proposed, which includes the linear regression algorithm in machine learning, to make the system predict the position of the object in the magnetic field according to the measured data more accurately without large fluctuation caused by noise and surrounding magnetic fields. The feasibility of this method is introduced in the paper and the experiment proves that it could reduce noise and improve positioning accuracy.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Positioning method for magnetic sensor array based on linear regression\",\"authors\":\"Jiaqi Li, Jin Xiao, Zhijie Zhang, Dan Sun\",\"doi\":\"10.1109/ICIEA.2017.8282827\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new positioning method based on magnetic sensor array is proposed, which includes the linear regression algorithm in machine learning, to make the system predict the position of the object in the magnetic field according to the measured data more accurately without large fluctuation caused by noise and surrounding magnetic fields. The feasibility of this method is introduced in the paper and the experiment proves that it could reduce noise and improve positioning accuracy.\",\"PeriodicalId\":443463,\"journal\":{\"name\":\"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2017.8282827\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2017.8282827","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Positioning method for magnetic sensor array based on linear regression
In this paper, a new positioning method based on magnetic sensor array is proposed, which includes the linear regression algorithm in machine learning, to make the system predict the position of the object in the magnetic field according to the measured data more accurately without large fluctuation caused by noise and surrounding magnetic fields. The feasibility of this method is introduced in the paper and the experiment proves that it could reduce noise and improve positioning accuracy.