{"title":"Non-line-of-sight mitigation technique in wireless location system","authors":"Bian Jiang-Ning, Bao Xu, Wang Gang","doi":"10.1109/RADIOELEK.2008.4542696","DOIUrl":null,"url":null,"abstract":"Non-line-of-sight (NLOS) error is the most common and also a major source of errors in wireless location system. This paper presents an approach to ameliorate the effect of the NLOS using Time Difference Of Arrival (TDOA) with more than minimum number of base stations (BSs). This algorithm makes use of the redundant TDOA measurements to formulate a problem as a test of hypothesis in order to get a hard decision to discard the NLOS-BSs, comparing with one certain ratio proposed in this paper, and it has no use for the distributing probability of the NLOS noise. Numerical simulations show that the proposed algorithm can completely discard the NLOS-BSs when NLOS error is higher than the measurement noise.","PeriodicalId":162482,"journal":{"name":"2008 18th International Conference Radioelektronika","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 18th International Conference Radioelektronika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADIOELEK.2008.4542696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Non-line-of-sight (NLOS) error is the most common and also a major source of errors in wireless location system. This paper presents an approach to ameliorate the effect of the NLOS using Time Difference Of Arrival (TDOA) with more than minimum number of base stations (BSs). This algorithm makes use of the redundant TDOA measurements to formulate a problem as a test of hypothesis in order to get a hard decision to discard the NLOS-BSs, comparing with one certain ratio proposed in this paper, and it has no use for the distributing probability of the NLOS noise. Numerical simulations show that the proposed algorithm can completely discard the NLOS-BSs when NLOS error is higher than the measurement noise.