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Vehicle Fusion Positioning Model based on CSI

Published: 16 November 2020 Publication History

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.

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  1. Vehicle Fusion Positioning Model based on CSI

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    cover image ACM Conferences
    DIVANet '20: Proceedings of the 10th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications
    November 2020
    76 pages
    ISBN:9781450381215
    DOI:10.1145/3416014
    • General Chair:
    • Mirela Notare,
    • Program Chair:
    • Peng Sun
    This work is licensed under a Creative Commons Attribution International 4.0 License.

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    Published: 16 November 2020

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    Author Tags

    1. CSI
    2. V2X
    3. fusion positioning
    4. vehicle positioning

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