{"title":"实时定位系统的自主配置方法","authors":"Thorsten Edelhäußer, G. Kókai","doi":"10.1109/AHS.2009.10","DOIUrl":null,"url":null,"abstract":"We introduce a new method for estimating the position and direction of receiving elements of a Real-Time Location System (RTLS). We deployed an autonomous robot and an Evolutionary Algorithm (EA) for this problem. The adopted operations and fitness calculation of the EA are presented for an Angle of Arrival (AoA) system and the results of simulation and real experiment setup were shown. Further problems of implementing in a real scenario were discussed.","PeriodicalId":318989,"journal":{"name":"2009 NASA/ESA Conference on Adaptive Hardware and Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Autonomous Configuration Method for Real-Time Location Systems\",\"authors\":\"Thorsten Edelhäußer, G. Kókai\",\"doi\":\"10.1109/AHS.2009.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce a new method for estimating the position and direction of receiving elements of a Real-Time Location System (RTLS). We deployed an autonomous robot and an Evolutionary Algorithm (EA) for this problem. The adopted operations and fitness calculation of the EA are presented for an Angle of Arrival (AoA) system and the results of simulation and real experiment setup were shown. Further problems of implementing in a real scenario were discussed.\",\"PeriodicalId\":318989,\"journal\":{\"name\":\"2009 NASA/ESA Conference on Adaptive Hardware and Systems\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 NASA/ESA Conference on Adaptive Hardware and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AHS.2009.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 NASA/ESA Conference on Adaptive Hardware and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AHS.2009.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Autonomous Configuration Method for Real-Time Location Systems
We introduce a new method for estimating the position and direction of receiving elements of a Real-Time Location System (RTLS). We deployed an autonomous robot and an Evolutionary Algorithm (EA) for this problem. The adopted operations and fitness calculation of the EA are presented for an Angle of Arrival (AoA) system and the results of simulation and real experiment setup were shown. Further problems of implementing in a real scenario were discussed.