摘要
基于位置指纹的无设备定位方法由于实际测量工作的繁琐导致指纹数据库的构建耗时耗力,针对这种情况,提出一种通过射线跟踪方法(ray-tracing method)得到所有参考点处信号发射端和接收端之间链路的信号强度值的方法来建立离线指纹数据库。在线阶段,通过改进加权K近邻算法将实时链路信号强度与离线指纹数据库进行匹配实现定位。仿真结果表明,该方法能够实现目标的定位且定位精度较高,较传统的无设备定位方法精度提高了47%。
In the device-free positioning method based on location fingerprints,the construction of the fingerprint database is time-consuming and labor-intensive due to the cumbersome actual measurement work.For this situation,this paper proposes a method to obtain the signal strength value of the link between the transmitter and receiver at all reference points by ray-tracing method to establish an offline fingerprint database.In the online stage,the improved weighted K nearest neighbors algorithm was used to match the real-time link signal strength with the offline fingerprint database to achieve positioning.The experiments show that the positioning of the target can be achieved with high positioning accuracy.Compared with the traditional device-free positioning methods,the positioning accuracy of the proposed method is improved by 47%.
作者
万立志
崔英花
Wan Lizhi;Cui Yinghua(School of Information and Communication Engineering,Beijing Information Science and Technology University,Beijing 100101,China)
出处
《计算机应用与软件》
北大核心
2023年第5期134-140,共7页
Computer Applications and Software
基金
国家自然科学基金项目(61340005)
北京市自然科学基金面上项目(4202024)
促进内涵发展科研水平提高项目重点研究培育项目(2020KYNH213)。
关键词
无设备定位
位置指纹
射线跟踪
加权K近邻算法
Device-free positioning
Location fingerprint
Ray tracing
Weighted K nearest neighbors algorithm
