基于WiFi网络的室内边缘定位算法研究  

Research on edge location algorithm of Indoor based on WiFi network

作　　者：李旭阳 屈军锁 杨树强[2] 

机构地区：[1]西安邮电大学通信与信息工程学院,陕西西安710061 [2]电信科学技术第四研究所,陕西西安710061

出　　处：《电视技术》2017年第9期117-121,共5页Video Engineering

基　　金：陕西省软科学基金资助项目(2016RKX3-01)

摘　　要：在传统的室内WiFi定位研究中,针对基于聚类的位置指纹算法中边缘定位点定位精度低的问题,提出了一种改进的能够提高边缘定位点定位精度的算法,该方法通过将临近聚类纳入定位参考从而提高了边缘定位点的定位精度,以此达到整体定位精度的提高。搭建了仿真环境并对改进的算法进行仿真验证。仿真结果表明,改进后的算法较改进前定位误差有所降低,对整体定位性能有较好提升,具有一定的优越性。Traditional indoor WiFi positioning research,aiming at the problem of low precision of edge location in the location fingerprint algorithm based on clustering, an improved algorithm is proposed to improve the precision of edge location, the method can improve the positioning accuracy of the edge positioning point by incorporating the adjacent clustering into the positioning reference, so as to achieve the improvement of the overall positioning accuracy. The simulation environment is built and the improved algorithm is simulated and veri- fied. The simulation results show that the improved algorithm has a lower error than the previous localization error, and the overall positio- ning performance is better, which has certain advantages.

关 键 词：指纹算法 聚类分析 WIFI 边缘定位 

分 类 号：TN915.09[电子电信—通信与信息系统]