论文部分内容阅读
在缺失用户位置或者目标位置的信息时,传统室内定位技术难以准确实现室内返航导航。为了解决这一问题,文章提出了一种基于磁场信息匹配的返航导航算法,利用轨迹分段减少误差累加,在转向点使用磁场信息匹配修正导航误差,将基于航位推测法的室内返航导航误差降低到约2.5m,并使室内导航摆脱了对地图或Wi-Fi信息的依赖。
In the absence of information about the location of the user or the location of the target, traditional indoor positioning techniques are difficult to accurately achieve indoor return navigation. In order to solve this problem, the paper proposes a navigation algorithm based on matching of magnetic field information, using track segmentation to reduce error accumulation, and using magnetic field information matching to correct navigation error at turning point. Based on the dead reckoning method, indoor return navigation error Down to about 2.5m, and freeing indoor navigation from relying on maps or Wi-Fi messaging.