首页 | 本学科首页   官方微博 | 高级检索  
     

基于INS定位和WIFI指纹定位技术的无人机室内定位方法研究
引用本文:曹以龙,景晓娟,景旭川.基于INS定位和WIFI指纹定位技术的无人机室内定位方法研究[J].上海电力学院学报,2021,37(6):608-612.
作者姓名:曹以龙  景晓娟  景旭川
作者单位:上海电力大学 电子与信息工程学院
基金项目:上海市科技创新行动计划(19DZ1205402)。
摘    要:针对无人机室内定位问题,提出了一种基于惯性导航系统(INS)和WIFI指纹定位技术的四旋翼无人机的室内定位方法。该方法首先利用WIFI模块测量的信号接收强度信息,根据WIFI指纹定位原理求出该定位时刻下的无人机位置;同时,利用惯性传感器信息计算出INS定位下的无人机位置,结合两种定位结果得出更为精确的位置。最后,通过实验验证了INS定位和WIFI指纹定位相结合的无人机室内定位方法的有效性,且该方法较两种单独定位方法的定位精度更高。

关 键 词:室内定位  惯性导航系统  WIFI指纹技术
收稿时间:2020/3/24 0:00:00

Research on Indoor Localization of UAV Based on INS and WIFI Fingerprint Technology
CAO Yilong,JING Xiaojuan,JING Xuchuan.Research on Indoor Localization of UAV Based on INS and WIFI Fingerprint Technology[J].Journal of Shanghai University of Electric Power,2021,37(6):608-612.
Authors:CAO Yilong  JING Xiaojuan  JING Xuchuan
Affiliation:School of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Abstract:Aiming at the problem of UAV indoor positioning, a four-rotor UAV indoor positioning method based on the combination of inertial navigation system (INS) and WIFI fingerprint positioning technology is proposed.The method first uses the RSS information measured by the WIFI module to obtain the position of the drone at the positioning moment according to the principle of WIFI fingerprint positioning, and uses the inertial sensor information to calculate the position of the drone under the INS positioning.The positioning results under the method are fused to obtain a more accurate position.Finally, experiments verify that the UAV indoor positioning method based on the combination of INS positioning and WIFI fingerprint positioning is effective and the positioning with this method has higher accuracy.
Keywords:indoor localization  inertial navigation system  WIFI fingerprint technology
点击此处可从《上海电力学院学报》浏览原始摘要信息
点击此处可从《上海电力学院学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号