一种城市环境下GNSS/MEMS IMU车载实时精密定位方法

Real-Time Precise Positioning Method for Vehicle-Borne GNSS/MEMS IMU Integration in Urban Environment

  • 摘要: 针对城市环境下全球导航卫星系统(global navigation satellite system,GNSS)信号严重遮挡和微机械惯性测量单元(micro-electro-mechanical system inertial measurement unit,MEMS IMU)误差快速累积导致GNSS/惯性导航系统(inertial navigation system,INS)组合定位精度下降的问题,提出了一种GNSS载波相位实时动态差分(real time kinematic,RTK) + 载波相位时间差分(time-differenced carrier phase,TDCP)/INS实时精密定位方法。在观测条件良好时,采用固定模糊度的RTK与INS紧组合;当信号严重遮挡RTK解算失败但TDCP解算成功时,使用TDCP观测值与INS紧组合;若TDCP解算失败,采用INS推算导航。在武汉大学校园及周边开展车载实验,结果表明,在除了隧道等密闭环境以外的城市道路上,多系统GNSS的TDCP解算成功率接近90%。在RTK解算失败的连续时间小于45 s的复杂环境下,TDCP/INS组合定位的平面和高程均方根误差分别为0.30、0.21 m,最大误差分别为0.69、0.72 m,可以实现分米级的实时定位精度。

     

    Abstract:
      Objectives  Recognizing that the seriously occluded global navigation satellite system (GNSS) signals in urban environments and the rapidly accumulated micro-electro-mechanical system inertial measurement unit (MEMS IMU) errors would lead to the decline of GNSS/inertial navigation system (INS) positioning accuracy, a real-time precise positioning method named GNSS real-time kinematic (RTK) + time-differenced carrier phase (TDCP) /INS is proposed.
      Methods  In this method, the RTK positioning with fixed ambiguity is coupled with INS tightly to generate the navigation results when GNSS signals are well tracked. If GNSS signals are seriously blocked and the RTK solution fails but the TDCP solution succeeds, the TDCP measurements are coupled with INS tightly for navigation. Moreover, if TDCP solution also fails, the INS is used for reckoning navigation.
      Results  Vehicle experiments have been carried out on the campus of Wuhan University and its surroundings. The results show that the success rate of TDCP solution with multi-GNSS is close to 90% on urban roads except for tunnels and other closed scenes.More importantly, even in an adverse scene where the continuous time of RTK solution failure is less than 45 s, the root mean square errors of the TDCP/INS solution are only 0.30 m and 0.21 m, and its maximum errors are 0.69 m and 0.72 m, respectively, in the horizontal and vertical directions.
      Conclusions  The experimental results have demonstrated that a decimeter-level real-time navigation accuracy is achievable with this method.

     

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