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A multi-pedestrian cooperative navigation and positioning method based on UWB technology

机译:基于UWB技术的多人协同导航定位方法

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Cooperative navigation which can improve the individual localization accuracy through utilizing the relative information among multiple individuals is a problem worthy of discussing. In the case of limited satellite signals, pedestrian navigation based on the micro inertial measurement unit can achieve autonomous and continuous navigation results, but during the inertial navigation calculation process, the navigation error of a single pedestrian is easy to diverge. Multi-pedestrian cooperative navigation is a navigation method that integrates and shares navigation information of multiple pedestrians. The relative distance between pedestrians can be measured by ultra-wide band technology and used to form a constraint relationship between multi-pedestrian navigation states. Then, the Kalman filter principle is used to establish a multi-pedestrian cooperative navigation system model in order to control the divergence of navigation errors, thereby improving overall navigation accuracy. The experimental results show that the overall navigation performance is effectively improved and the navigation accuracy of some pedestrians is significantly optimized when the multi-pedestrian cooperative navigation and positioning method is adopted.
机译:通过利用多个个体之间的相对信息可以提高个体定位精度的合作导航是一个值得讨论的问题。在卫星信号有限的情况下,基于微惯性测量单元的行人导航可以实现自主和连续的导航结果,但是在惯性导航计算过程中,单个行人的导航误差很容易发散。多人协作导航是一种集成和共享多个行人导航信息的导航方法。行人之间的相对距离可以通过超宽带技术进行测量,并用于形成多行人导航状态之间的约束关系。然后,利用卡尔曼滤波原理建立多人协作导航系统模型,以控制导航误差的发散,从而提高整体导航精度。实验结果表明,采用多人协同导航定位方法可以有效地提高整体导航性能,并部分优化了部分行人的导航精度。

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