附加约束条件对GNSS/INS组合导航结果的影响分析

Effects Analysis of Constraints on GNSS/INS Integrated Navigation

  • 摘要: 针对车载全球导航卫星系统/惯性导航系统(global navigation satellite system/inertial navigation system,GNSS/INS)组合导航中卫星信号中断,惯性导航系统单独导航误差积累较大的问题,提出了附加载体运动条件约束的卡尔曼(Kalman)滤波解算方法。通过利用载体固有的运动约束,包括近似高程约束、近似速度约束和近似姿态约束,减少载体自由度和模型参数;通过引入新的观测类型,增加观测冗余,可以加强Kalman滤波解,提高在GNSS信号中断时组合导航系统的定位精度,实现无缝导航。

     

    Abstract: A Kalman filter with kinematic motion constraints is presented to address the problem of increasing position error from INS on s vehicle when the GNSS/INS integrated navigation system is without a GNSS signal. By using the inherent motion constraints, such as approximation height constraint, velocity constraint, and attitude constraint, the freedom of motion of a vehicle will be controlled and the unknown model parameters will be reduced. Both motion constraints and new kind measurements will strengthen the solution in constraint Kalman filtering. The positioning accuracy of the GNSS/INS integrated navigation system can be improved when the GNSS signal is blocked, achieving continuous navigation.

     

/

返回文章
返回