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面向交通的GNSS高精度定位完好性试验分析

Experimental analysis of traffic-oriented GNSS high-precision positioning integrity
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摘要 随着差分GNSS等高精度定位技术在陆地海洋各领域的应用逐渐普及,对高精度定位的可靠性、准确性和连续性等都提出更高要求。如何借鉴航空完好性理论和技术,发展适合于高精度定位应用完好性体系成为当下研究热点之一。本文针对陆地道路交通应用,以航空完好性理论为基础,结合国内道路交通领域的特点,对高精度定位服务系统及用户终端完好性的最低性能需求进行分析,设计道路试验,利用低成本高精度模组对大范围多场景下的道路交通GNSS完好性指标进行验证。测试结果表明:高速开阔/遮挡场景的指标可用性在行进方向和左右方向分别为73.05%/52.42%和79.27%/71.30%;低速开阔/遮挡场景的指标可用性分别为80.54%/65.65%和81.09%/61.79%。 With the application of differential GNSS and other high-precision positioning technologies in land and marine fields gradually becoming popular,higher requirements for reliability,accuracy and continuity of high-precision positioning have been put forward,and how to develop an integrity system suitable for high-precision positioning applications based on aviation integrity theory and technology has become one of the current research hotspots.In this paper,we analyze the minimum performance requirements for the integrity of high-precision positioning service system and user terminal based on aviation integrity theory and the characteristics of domestic road traffic,design road experiments,and verify the GNSS integrity index of road traffic in a wide range of scenarios using low-cost high-precision modules.The test results show that the index availability of high-speed open/obscured scenes is 73.05%/52.42%and 79.27%/71.30%in the heading direction and left-right direction,respectively;the index availability of low-speed open/obscured scenes is 80.54%/65.65%and 81.09%/61.79%,respectively.
作者 鲍烨青 刘晖 王怡欣 钱闯 唐健 BAO Yeqing;LIU Hui;WANG Yixin;QIAN Chuang;TANG Jian(GNSS Research Center,Wuhan University,Wuhan 430079,China;Intelligent Transportation Systems Research Center,Wuhan University of Technology,Wuhan 430070,China)
出处 《测绘通报》 CSCD 北大核心 2023年第6期98-103,共6页 Bulletin of Surveying and Mapping
基金 国家重点研发计划(2021YFB2501105) 湖北省重点研发计划(2020BAB095) Sponsored by DiDi GAIA Research Collaboration Plan(20211208-00098)。
关键词 完好性监测 载波相位 保护水平 扩展卡尔曼滤波 动态道路测试 integrity monitoring carrier phase protection level extended Kalman filtering dynamic road test
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