摘要
基于低功耗蓝牙(BLE)接收信号强度标识(RSSI)测量的位置指纹定位是最常见和有效的室内定位方法之一。然而,BLE通信协议并非专门为定位而设计,不同通信连接方式下的蓝牙设备测距性能差异较大,显著影响着定位精度。针对这一问题,对不同连接模式下的BLE设备RSSI测距性能进行了测试和分析;进一步地,利用自行搭建的室内定位环境开展实验,验证了其对用户实际定位精度的影响。测试结果表明,当BLE模块设置为“不可连接模式”时,设备RSSI测距稳定性提高了约60%、用户在线定位精度由1.40 m提高到了0.58 m,能够获得明显更优的性能,是室内BLE定位系统的优选通信连接方式。
Fingerprinting location based on received signal strength indication(RSSI)of Bluetooth low energy(BLE)is one of the most popular and effective indoor positioning methods.However,the BLE communication protocol is not specifically designed for location,and the ranging performance of the Bluetooth devices under different communication connection modes varies greatly,which significantly affects the positioning accuracy.In response to this problem,the paper tests and analyzes the BLE RSSI ranging performance under different connection modes.Further,experiments based on a self-built indoor positioning environment are carried out to verify its impact on the user′s actual positioning accuracy.The test results show that when the BLE module is set to"un-connectable mode",the RSSI ranging stability of the device is improved by about 60%,and the user′s online positioning accuracy is improved from 1.40 m to 0.58 m,which significantly improve the positioning performance.
作者
李芳
徐光明
刘成
相恒永
施浒立
江娟
宁永科
钱小龙
Li Fang;Xu Guangming;Liu Cheng;Xiang Hengyong;Shi Huli;Jiang Juan;Ning Yongke;Qian Xiaolong(National Astronomical Observation,Chinese Academy of Sciences,Beijing 100012,China;Taiyuan Satellite Launch Center,Taiyuan 030000,China;Beijing Institute of Tracking and Telecommunication Technology,Beijing 100094,China;Institute of Microelectronics of Chinese Academy of Sciences,Beijing 100029,China;Beijing Institute of Space Science and Technology Information,Beijing 100094,China;School of Information and Communication,Guilin University of Electronic Technology,Guilin 541004,China)
出处
《电子技术应用》
2021年第7期125-129,共5页
Application of Electronic Technique
基金
国家自然科学基金(61701481)
中国科协青年人才托举工程(2019QNRC001)。
关键词
室内定位
低功耗蓝牙
接收信号强度指示
位置指纹匹配
加权K邻近算法
indoor positioning
Bluetooth low energy(BLE)
received signal strength indication(RSSI)
fingerprinting
weight K-nearest neighbor(WKNN)