Jin Ren, Yunan Wang, Wenle Bai, Changliu Niu, Shan Meng
{"title":"An improved indoor positioning algorithm based on RSSI filtering","authors":"Jin Ren, Yunan Wang, Wenle Bai, Changliu Niu, Shan Meng","doi":"10.1109/ICCT.2017.8359812","DOIUrl":null,"url":null,"abstract":"For the positioning range of the indoor localization algorithm is limited, location accuracy requirements are more precise. In the study of the measurement distance based on the signal receiving strength (RSSI), it is not reliable to calculate the receiving signal strength to affect the final positioning accuracy. By sampling and analyzing the signal strength of the node, filter out too big error and further reduce the measurement error to improve the positioning accuracy. The feasibility and effectiveness of the improved algorithm are verified by simulation results. The location accuracy of positioning algorithm is improved.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"294 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT.2017.8359812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
For the positioning range of the indoor localization algorithm is limited, location accuracy requirements are more precise. In the study of the measurement distance based on the signal receiving strength (RSSI), it is not reliable to calculate the receiving signal strength to affect the final positioning accuracy. By sampling and analyzing the signal strength of the node, filter out too big error and further reduce the measurement error to improve the positioning accuracy. The feasibility and effectiveness of the improved algorithm are verified by simulation results. The location accuracy of positioning algorithm is improved.