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Dual MIMU Pedestrian Navigation by Inequality Constraint Kalman Filtering

机译:不等式约束卡尔曼滤波的双MIMU行人导航

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The foot-mounted inertial navigation system is an important method of pedestrian navigation as it, in principle, does not rely any external assistance. A real-time range decomposition constraint method is proposed in this paper to combine the information of dual foot-mounted inertial navigation systems. It is well known that low-cost inertial pedestrian navigation aided with both ZUPT (zero velocity update) and the range decomposition constraint performs better than those in their own respective methods. This paper recommends that the separation distance between the position estimates of the two foot-mounted inertial navigation systems be restricted by an ellipsoidal constraint that relates to the maximum step length and the leg height. The performance of the proposed method is studied by utilizing experimental data, and the results indicate that the method can effectively correct the dual navigation systems?¢???? position over the traditional spherical constraint.
机译:脚上惯性导航系统是行人导航的一种重要方法,因为从原理上讲,它不需要任何外部帮助。提出了一种结合双脚惯性导航系统信息的实时距离分解约束方法。众所周知,借助ZUPT(零速度更新)和距离分解约束的低成本惯性行人导航的性能要优于其各自方法。本文建议两个椭圆惯性导航系统的位置估计之间的分隔距离应受与最大步长和腿高有关的椭圆约束的限制。利用实验数据研究了该方法的性能,结果表明该方法可以有效地校正双导航系统。在传统球形约束上的位置。

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