摘要
针对现有基于WiFi的室内定位算法精度低、稳定性差的问题,该文提出了一种基于WiFi定位的环境光匹配组合室内定位方法。该方法利用智能手机中内置的传感器即可实现连续、可靠的定位。该文首先利用手机光线感应器采集室内环境光强度信息,并构建环境光指纹数据库;其次利用基于RSSI的质心定位算法进行初步定位;最后通过K-近邻匹配算法进行环境光数据库匹配,从而实现融合定位。实验结果表明,相比传统的仅靠WiFi进行定位的方法,该文算法的定位精度和稳定性有明显提升,可为大型超市、地下停车场、隧道、矿井等室内环境光较为稳定的区域提供定位技术帮助。
Aiming at the problem of low precision and poor stability of the existing indoor positioning algorithm based on WiFi,this paper presented a method of indoor positioning based on WiFi location and ambient light matching combination.The method utilized sensors built into the smartphone to achieve continuous,reliable positioning.Firstly,we used the mobile phone light sensor to collect the indoor ambient light intensity information and built an ambient light fingerprint database.Secondly,the centroid positioning algorithm based on received signal strength indicator(RSSI)was used for preliminary positioning.Finally,the ambient light database matching was carried out by matching of K nearest neighbor,thus realizing the fusion positioning.The experimental results showed that the positioning accuracy and stability of the proposed algorithm were significantly improved compared with the traditional WiFi positioning method.This algorithm could provide positioning technology for large supermarkets,underground parking lots,tunnels,mines and other areas where indoor ambient light is relatively stable.
作者
陶晓晓
卢小平
路泽忠
周雨石
余振宝
TAO Xiaoriao;LU Xiaoping;LU Zezhong;ZHOU Yushi;YU Zhenbao(Key Laboratory of Spatio-temporal Information and Ecological Restoration of Mines,MNR,Henan Polytechnice University,Jiaozuo,Henan 454000,China).)
出处
《测绘科学》
CSCD
北大核心
2020年第6期57-61,72,共6页
Science of Surveying and Mapping
基金
2016年国家重点研发计划项目(2016YFC0803103)
河南省高校创新团队支持计划项目(14IRTSTHN026)
河南省创新型科技创新团队支持计划项目。
关键词
室内定位
RSSI
质心定位
环境光
K近邻匹配
indoor positioning
RSSI
centroid positioning
ambient light
matching of K nearest neighbor
