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OALib Journal期刊
ISSN: 2333-9721
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-  2016 

BDS/GPS双模定位技术在现代有轨电车中的应用研究
Application researth on BDS/GPS dual-mode positioning technology for modern streetcar

Keywords: 现代有轨电车,BDS/GPS双模定位,中值滤波,卡尔曼滤波
modern tram
, BDS/GPS dual mode positing, median filter, Kalman filter

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Abstract:

实时定位监控系统是现代有轨电车运行控制系统的重要组成部分,它是确保现代有轨电车安全运行的关键系统。针对传统GPS定位存在的缺点,研究一种基于BDS/GPS双模定位技术的现代有轨电车高精度定位系统;提出一种以BDS/GPS双模定位为主,航迹推算/RFID定位为辅同时采用道路分段式的定位方案。为提高双模定位信息的精度,提出一种中值滤波和卡尔曼滤波相结合的数据处理算法。经过测试表明该方法比传统的现代有轨电车GPS定位系统更加准确、可靠,为现代有轨电车的安全运行提供了保障。
Real-time positioning and monitoring system is an essential component of modern tram operation control system, which is a vital system to ensure operating safety of modern tram. In view of the shortcomings of traditional GPS positioning, a high precision positioning system of modern tram based on BDS/GPS dual mode positioning technology was studied. A new positioning scheme that is depent on BDS/GPS dual mode positioning mainly, RFID/DR secondarily in different track section was put forward in this paper. Additionally, a combination of median filtering and Kalman filtering algorithm was proposed to improve the accuracy of dual mode positioning information. The result proves that the proposed method is more accurate and reliable than the traditional GPS positioning system, and can ensure the safe operation of modern tram

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