基于双网络的室内定位系统  

DUAL-NETWORK-BASED INDOOR POSITIONING SYSTEM

作　　者：李悦 韩毅刚[1] 宿国防 刘彬 Li Yue;Han Yigang;Su Guofang;Liu Bin(Tianjin Key Laboratory of Photoelectric Sensor and Sensor Network Technology,School of Electronic Information and Optical Engineering,Nankai University,Tianjin 300350,China)

机构地区：[1]南开大学电子信息与光学工程学院天津市光电传感器与传感网络技术重点实验室,天津300350

出　　处：《计算机应用与软件》2024年第10期128-132,232,共6页Computer Applications and Software

基　　金：国家自然科学基金项目(61871239)。

摘　　要：以位置指纹定位法为基础,提出基于Wi-Fi、移动通信网相结合的室内定位方法,设计双网络室内定位系统,系统将Wi-Fi信号与基站信号的强度值共同存储作为位置指纹,利用K近邻等指纹匹配算法进行室内定位,并在手机上实现该定位系统。通过实验测试该系统的定位效果,探究定位中不同方向对于定位结果的影响,结果表明,系统定位精度对比单网络室内定位有所提升,在WKNN算法下平均精度可达1.22 m。Based on the location fingerprint positioning method,this paper proposes an indoor positioning method based on the integration of Wi-Fi and mobile communication networks,and designs a dual-network indoor positioning system.The system stored the strength values of the Wi-Fi signal and base station signal together as the location fingerprint,used fingerprint matching algorithms such as K nearest neighbors algorithm for indoor positioning,and realized the positioning system on mobile phone.The positioning effect of the system was test through experiments,and the influence of different directions on the positioning results was explored.The results show that the positioning accuracy of the dual-network-based indoor positioning system is improved compared with single-network positioning system,and the average accuracy can reach 1.22 m under the WKNN algorithm.

关 键 词：双网络 室内定位 位置指纹 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]