{"title":"Network localization using angle of arrival","authors":"Yanping Zhu, Daqing Huang, A. Jiang","doi":"10.1109/EIT.2008.4554297","DOIUrl":null,"url":null,"abstract":"In this paper, we propose two localization methods using angle of arrival (AoA) information. We assume that nodespsila axis orientations are unknown. Therefore, all AoA measurements are employed to calculate the angle differences of two different nodes viewed by the third one. Distance measurements between two nodes within the communication range are also utilized in the first method. For the second method, only AoA information is required. As all distance and angle measurements are accurate enough, the localization problem can be formulated as a linear program (LP). Otherwise, by introducing auxiliary variables, it can be cast as a quadratic program (QP). Simulation examples are presented to illustrate the effectiveness of the proposed methods.","PeriodicalId":215400,"journal":{"name":"2008 IEEE International Conference on Electro/Information Technology","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"54","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Electro/Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIT.2008.4554297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 54
Abstract
In this paper, we propose two localization methods using angle of arrival (AoA) information. We assume that nodespsila axis orientations are unknown. Therefore, all AoA measurements are employed to calculate the angle differences of two different nodes viewed by the third one. Distance measurements between two nodes within the communication range are also utilized in the first method. For the second method, only AoA information is required. As all distance and angle measurements are accurate enough, the localization problem can be formulated as a linear program (LP). Otherwise, by introducing auxiliary variables, it can be cast as a quadratic program (QP). Simulation examples are presented to illustrate the effectiveness of the proposed methods.