基于CSI的车辆融合定位模型

Yuanhao Zhao, Xuting Duan, Daxin Tian, Zhengguo Sheng, Victor C. M. Leung
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引用次数: 0

摘要

非开放区域的高精度定位一直是V2X发展的瓶颈。为了保证V2X在非开放区域的定位性能,本文提出了一种基于信道状态信息(CSI)的车辆融合定位方法。在该方法中,基于V2X通信特性,建立了车载单元(OBU)和路侧单元(RSU)的定位框架。同时,分别给出了OBU和RSU的操作算法。在此基础上,利用CSI计算信号飞行时间,结合最小二乘法基于通信设备对车辆进行定位。为了提高CSI数据分析的可靠性,解决多径传播下CSI分析的问题,采用基于代数优化的二次凸规划方法对传统的优化模型进行求解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vehicle Fusion Positioning Model based on CSI
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.
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