{"title":"不利室内环境下的目标定位","authors":"Slavisa Tomic, M. Beko, M. Tuba, N. Bačanin","doi":"10.1109/TELFOR.2017.8249363","DOIUrl":null,"url":null,"abstract":"This work addresses the problem of target localization in harsh indoor environments. Based on a robust approach, a novel estimator whose solution can be obtained exactly by just a bisection procedure is developed. In sharp contrast to existing solutions, computational complexity of the proposed one is linear in the number of reference points. Moreover, our simulations show that the performance of our approach not only matches the performance of the state-of-the-art, but surpasses it in general.","PeriodicalId":422501,"journal":{"name":"2017 25th Telecommunication Forum (TELFOR)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Target localization in adverse indoor environments\",\"authors\":\"Slavisa Tomic, M. Beko, M. Tuba, N. Bačanin\",\"doi\":\"10.1109/TELFOR.2017.8249363\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work addresses the problem of target localization in harsh indoor environments. Based on a robust approach, a novel estimator whose solution can be obtained exactly by just a bisection procedure is developed. In sharp contrast to existing solutions, computational complexity of the proposed one is linear in the number of reference points. Moreover, our simulations show that the performance of our approach not only matches the performance of the state-of-the-art, but surpasses it in general.\",\"PeriodicalId\":422501,\"journal\":{\"name\":\"2017 25th Telecommunication Forum (TELFOR)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 25th Telecommunication Forum (TELFOR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TELFOR.2017.8249363\",\"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 25th Telecommunication Forum (TELFOR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELFOR.2017.8249363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Target localization in adverse indoor environments
This work addresses the problem of target localization in harsh indoor environments. Based on a robust approach, a novel estimator whose solution can be obtained exactly by just a bisection procedure is developed. In sharp contrast to existing solutions, computational complexity of the proposed one is linear in the number of reference points. Moreover, our simulations show that the performance of our approach not only matches the performance of the state-of-the-art, but surpasses it in general.