Robust train length calculation and monitoring method using GNSS multi-constellation moving-baseline positioning resolution

作     者：Jiang, Wei Liu, Yongqiang Li, Jialei Wang, Jian Rizos, Chris Cai, Baigen 

作者机构：Beijing Jiaotong Univ Sch Automat & Intelligence Beijing Peoples R China Beijing Engn Res Ctr EMC & GNSS Technol Rail Trans Beijing Peoples R China China Postal Savings Bank Beijing Peoples R China Univ New South Wales Sch Civil & Environm Engn Sydney Australia 

出 版 物：《GPS SOLUTIONS》 (地球定位系统应用)

年 卷 期：2024年第28卷第3期

页      面：114页

核心收录：

学科分类：070801[理学-固体地球物理学] 07[理学] 08[工学] 0708[理学-地球物理学] 0816[工学-测绘科学与技术] 

基　　金：National Natural Science Foundation of China National Key Research and Development Program of China [2022YFB4300500] Beijing Natural Science Foundation [L211004] U2268206 

主　　题：Multi-constellation positioning Train length monitoring Next generation train control system Train length calculation method Adaptive filtering 

摘      要：Train length status reflects whether the carriage is uncoupled or thrown away, it directly affects the safety and efficiency of train operations. At present, satellite positioning technology is used within a train length monitoring system. Such a system can ensure positioning accuracy while reducing the need for trackside equipment. For train length monitoring using GNSS technology, multi-constellation can utilize more visible satellites and achieve better spatial geometric distribution. A robust train length calculation method using multi-constellation GNSS moving-baseline positioning resolution is proposed. The time and space coordinate systems of the Global Positioning System (GPS) and BeiDou Navigation Satellite System (BDS) are unified as the foundation to realize multi-constellation positioning. Double-differenced carrier phase measurements are used to mitigate or eliminate the propagation errors and the satellite and receiver clock errors. Then, the moving-baseline length can be estimated using a Kalman filtering algorithm, and the carrier phase ambiguity terms are fixed using an online ambiguity fix algorithm to further improve the system performance. More measurements are utilized in the multi-constellation train length calculation method, the probability of fault measurement would be increased thereafter, and thus, the fault identification and adaptive filtering algorithm is introduced in the multi-constellation train length calculation to reduce the influence of fault measurement on the accuracy of moving-baseline solution and enhance the robustness of the system. To evaluate the performance of the proposed system, an experiment was conducted on the Beijing-Shenyang high-speed railway line. The results obtained on GPS-FLOAT, GPS-FIX, GPS/BDS-FLOAT, and GPS/BDS-FIX modes were compared. Both the FLOAT and FIX solutions can achieve the train length computation with sub-meter level accuracy, which can prove that the system is able to be adapt to the different