Yuanhao Zhao, Xuting Duan, Daxin Tian, Zhengguo Sheng, Victor C. M. Leung
{"title":"基于CSI的车辆融合定位模型","authors":"Yuanhao Zhao, Xuting Duan, Daxin Tian, Zhengguo Sheng, Victor C. M. Leung","doi":"10.1145/3416014.3424583","DOIUrl":null,"url":null,"abstract":"High precision positioning in non-open area has always been a bottleneck in the development of V2X. In order to ensure the positioning performance of V2X in non-open area, this paper proposes a vehicle fusion localization method based on Channel State Information (CSI). In the proposed method, a positioning framework for on-board unit (OBU) and road-side unit (RSU) is established based on the communication characteristics of V2X. Meanwhile, the algorithms for the operation of OBU and RSU are given respectively. On this basis, the proposed method uses CSI to calculate the signal flight time, and combines with the least square method to locate the vehicle on the basis of communication equipment. To improve the reliability of CSI data analysis and solve the problem of CSI analysis under multipath propagation, the traditional optimization model is solved by a quadratic convex programming method based on algebraic optimization.","PeriodicalId":213859,"journal":{"name":"Proceedings of the 10th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications","volume":"2 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vehicle Fusion Positioning Model based on CSI\",\"authors\":\"Yuanhao Zhao, Xuting Duan, Daxin Tian, Zhengguo Sheng, Victor C. M. Leung\",\"doi\":\"10.1145/3416014.3424583\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High precision positioning in non-open area has always been a bottleneck in the development of V2X. In order to ensure the positioning performance of V2X in non-open area, this paper proposes a vehicle fusion localization method based on Channel State Information (CSI). In the proposed method, a positioning framework for on-board unit (OBU) and road-side unit (RSU) is established based on the communication characteristics of V2X. Meanwhile, the algorithms for the operation of OBU and RSU are given respectively. On this basis, the proposed method uses CSI to calculate the signal flight time, and combines with the least square method to locate the vehicle on the basis of communication equipment. To improve the reliability of CSI data analysis and solve the problem of CSI analysis under multipath propagation, the traditional optimization model is solved by a quadratic convex programming method based on algebraic optimization.\",\"PeriodicalId\":213859,\"journal\":{\"name\":\"Proceedings of the 10th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications\",\"volume\":\"2 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 10th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3416014.3424583\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3416014.3424583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High precision positioning in non-open area has always been a bottleneck in the development of V2X. In order to ensure the positioning performance of V2X in non-open area, this paper proposes a vehicle fusion localization method based on Channel State Information (CSI). In the proposed method, a positioning framework for on-board unit (OBU) and road-side unit (RSU) is established based on the communication characteristics of V2X. Meanwhile, the algorithms for the operation of OBU and RSU are given respectively. On this basis, the proposed method uses CSI to calculate the signal flight time, and combines with the least square method to locate the vehicle on the basis of communication equipment. To improve the reliability of CSI data analysis and solve the problem of CSI analysis under multipath propagation, the traditional optimization model is solved by a quadratic convex programming method based on algebraic optimization.