基于惯性导航的低成本行人定位系统设计

Xie Shui-qing, Li Xiangyuan, L. Zhengyi, Zhou Hui, Yang Dandan
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引用次数: 2

摘要

在建筑物、地下工程、隧道、矿山等没有GPS信号的场所进行救援、消防等特种服务时,获取特种人员的位置信息,指导救援、疏散和兵力调度是非常重要的。为了满足上述要求,本系统采用由3轴加速度、3轴陀螺仪和3轴地磁传感器构成的惯性测量单元完成行人运动信息的测量,通过余弦矩阵计算人员姿态,并使用扩展卡尔曼滤波进行人员速度和位置的计算。通过陀螺仪实现零速度检测,减少了计算的累积误差,从而实现了惯性导航的关键技术。采用ZigBee和WIFI模块,开发便携式无线网络节点,构建无线自组织网络。采用嵌入式微控制器和MEMS惯性传感器构建可穿戴无线导航定位系统。利用无线自组织网络,实现对员工位置和移动轨迹的实时在线监控。可穿戴无线导航定位系统可以准确获取救援人员的位置和运动轨迹。利用无线自组织网络,可以将救援人员的位置和轨迹信息实时传输到控制中心,为救灾指挥和决策支持服务提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of low cost pedestrian location system based on inertial navigation
When carrying out special services of rescue and firefighting in buildings, underground works, tunnels and mine, where has no GPS signal, it's important to get location information of special staff, which used by guiding rescue, evacuation and force dispatch. In order to meet the above requirements, this system uses the inertial measurement unit constructed by 3-axis acceleration, 3-axis gyroscope and 3-axis geomagnetic sensor to complete the measurement of pedestrian motion information, calculate the personnel attitude through the cosine matrix, and use the extended Kalman filter the calculation of the speed and position of the personnel is carried out, and the zero speed detection is realized by the gyroscope to reduce the accumulated error of the calculation, thus realizing the key technology of inertial navigation. Using ZigBee and WIFI modules, the development of portable wireless network nodes, to build a wireless self-organizing network. Using embedded microcontrollers and MEMS inertial sensors to build a wearable wireless navigation and positioning system. Using wireless ad hoc network, implement real-time online monitoring of the staff positions and movement trajectory. The wearable wireless navigation and positioning system can accurately obtain the position and movement trajectory of the rescue personnel. Using the wireless ad hoc network, the position and the trajectory information of the rescue personnel can be transmitted to the control center in real time to provide information for the disaster relief command and decision support service.
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