基于微型惯性测量单元的室内行人定位研究

Guo Zheng, Wang Qiuying, Z. Minghui
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引用次数: 2

摘要

为了解决室内行人导航无法接收GPS信号的问题,不依赖于任何外部设备或先验数据库的惯性导航定位技术是一种更可靠的方法。惯性导航系统通过收集加速度和角速度信息来计算位置、速度和姿态信息。在此基础上引入零速度校正,当系统检测到行人处于零速度状态,即脚着地时,触发卡尔曼滤波算法,对系统进行状态校正,消除捷联惯导系统的误差。在室内环境中,对不同的步行路线进行了实验。仿真结果表明,零速度修正后的导航算法的定位精度明显提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on indoor pedestrian location based on miniature inertial measurement unit
In order to solve the problem that the indoor pedestrian navigation cannot receive the GPS signal, the inertial navigation and positioning technology, which does not rely on any external equipment or a priori database, is a more reliable method. The inertial navigation system can calculate the position, velocity and attitude information by collecting the acceleration and angular velocity information. On the basis of it we introduce zero speed correction, when the system detects pedestrians at zero speed state, namely the foot meets the ground, the Kalman filter algorithm is triggered and the state of the system is corrected to eliminate the errors of SINS. In the indoor environment, experiments were carried out for different walking routes. The simulation results show that the positioning accuracy of the navigation algorithm with zero velocity correction is improved obviously.
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