{"title":"基于rss的信道测量及其对RFID应用中定位的影响","authors":"Theresa Nick, G. Smietanka, J. Götze","doi":"10.1109/ISCE.2013.6570258","DOIUrl":null,"url":null,"abstract":"Radio Frequency Identification (RFID) is a valid choice to achieve indoor localization simultaneously to the identification of objects. Measurements of Received Signal Strength (RSS) values show a higher variance for larger distances between tag and reader antenna. Therefore using a variable measurement noise in the localization algorithm is proposed. For the Constrained Unscented Kalman Filter (CUKF) the localization error is reduced by about 10%.","PeriodicalId":442380,"journal":{"name":"2013 IEEE International Symposium on Consumer Electronics (ISCE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"RSS-based channel measurements and their influence on localization in RFID applications\",\"authors\":\"Theresa Nick, G. Smietanka, J. Götze\",\"doi\":\"10.1109/ISCE.2013.6570258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Radio Frequency Identification (RFID) is a valid choice to achieve indoor localization simultaneously to the identification of objects. Measurements of Received Signal Strength (RSS) values show a higher variance for larger distances between tag and reader antenna. Therefore using a variable measurement noise in the localization algorithm is proposed. For the Constrained Unscented Kalman Filter (CUKF) the localization error is reduced by about 10%.\",\"PeriodicalId\":442380,\"journal\":{\"name\":\"2013 IEEE International Symposium on Consumer Electronics (ISCE)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Symposium on Consumer Electronics (ISCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCE.2013.6570258\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Symposium on Consumer Electronics (ISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2013.6570258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RSS-based channel measurements and their influence on localization in RFID applications
Radio Frequency Identification (RFID) is a valid choice to achieve indoor localization simultaneously to the identification of objects. Measurements of Received Signal Strength (RSS) values show a higher variance for larger distances between tag and reader antenna. Therefore using a variable measurement noise in the localization algorithm is proposed. For the Constrained Unscented Kalman Filter (CUKF) the localization error is reduced by about 10%.