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基于SINS/GNSS/轮速的列车组合导航算法研究
引用本文:王可,刘立刚,周斌,卜智勇. 基于SINS/GNSS/轮速的列车组合导航算法研究[J]. 系统仿真学报, 2021, 0(1): 189-195
作者姓名:王可  刘立刚  周斌  卜智勇
作者单位:中国科学院
摘    要:铁路沿线复杂环境下的精确定位是目前列车导航的技术难点.经典的SINS/GNSS(Strapdown Inertial Navigation System/Global Navigation Satellite System)组合导航方案在卫导信号被遮挡等情况下由SINS继续导航,但低成本惯导器件会随着时间出现误差累积....

关 键 词:列车定位  捷联惯导  组合导航  卡尔曼滤波

Research on SINS/GNSS/Train-Speed Integrated Navigation Algorithm
Wang Ke,Liu Ligang,Zhou Bin,Bu Zhiyong. Research on SINS/GNSS/Train-Speed Integrated Navigation Algorithm[J]. Journal of System Simulation, 2021, 0(1): 189-195
Authors:Wang Ke  Liu Ligang  Zhou Bin  Bu Zhiyong
Affiliation:(Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences,Shanghai 200050,China)
Abstract:The precise train positioning under complicated railway environment has been a key technical challenge for train navigation currently. In the conventional solutions, in case of satellite signals being weak or indiscernible, the task of positioning has to be undertaken by SINS alone. This will cause some serious error-accumulation problems, especially when low-cost inertial devices are used. In order to solve this problem, we propose a novel integrated train navigation algorithm, which includes two working modes. The SINS/GNSS mode is designed for the situation that satellite signals are valid, whereas the SINS/wheel-speed mode is for the weak signal environments. Both simulation results and measured data show that the proposed algorithm can achieve a much higher accuracy, i.e., the maximum horizontal error is less than 5 m in case that the satellite signals are frequently invalid for a short time(<90 s).
Keywords:train positioning  strapdown inertial navigation  integrated navigation  Kalman filter
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