{"title":"基于TOA的联合同步与定位","authors":"Shouhong Zhu, Z. Ding, K. Markarian","doi":"10.1109/ICC.2010.5502036","DOIUrl":null,"url":null,"abstract":"Time of arrival (TOA) based joint synchronization and localization is a very important research area for wireless ad hoc sensor network applications. In this paper we propose a computationally efficient algorithm. The proposed algorithm is based on the linearized equations from TOA measurements, and applies a weighted least square criterion that leads to a high estimation performance. Performance analysis and simulation studies provided confirm the proposed algorithm of its superior trade-off between estimation performance and computational complexity.","PeriodicalId":6405,"journal":{"name":"2010 IEEE International Conference on Communications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"TOA Based Joint Synchronization and Localization\",\"authors\":\"Shouhong Zhu, Z. Ding, K. Markarian\",\"doi\":\"10.1109/ICC.2010.5502036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time of arrival (TOA) based joint synchronization and localization is a very important research area for wireless ad hoc sensor network applications. In this paper we propose a computationally efficient algorithm. The proposed algorithm is based on the linearized equations from TOA measurements, and applies a weighted least square criterion that leads to a high estimation performance. Performance analysis and simulation studies provided confirm the proposed algorithm of its superior trade-off between estimation performance and computational complexity.\",\"PeriodicalId\":6405,\"journal\":{\"name\":\"2010 IEEE International Conference on Communications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICC.2010.5502036\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC.2010.5502036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time of arrival (TOA) based joint synchronization and localization is a very important research area for wireless ad hoc sensor network applications. In this paper we propose a computationally efficient algorithm. The proposed algorithm is based on the linearized equations from TOA measurements, and applies a weighted least square criterion that leads to a high estimation performance. Performance analysis and simulation studies provided confirm the proposed algorithm of its superior trade-off between estimation performance and computational complexity.
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