计算机工程与科学2018，Vol.40Issue(2)：246-254,9.DOI:10.3969/j.issn.1007-130X.2018.02.008
基于聚类分析优化的距离修正室内定位算法
Distance rectification indoor localization based on cluster analysis optimization
摘要
Abstract
The localization system based on received signal strength indication (RSSI) is vulnerable to environmental impact,we therefore present a RSSI signal processing optimization strategy based on clustering analysis of the Gaussian mixture model.We achieve accurate indoor localization of unknown nodes through the optimization of the RSSI and the distance rectification of the four sides centroid localization algorithm.Experiments on Bluetooth 4.0 beacon nodes validate that the algorithm can effectively improve range accuracy and location precision.The location precision is increased by 34.6％ than the conventional weighted centroid algorithm,and the average error of localization is less than 0.5 m,which meets the location precision requirement.关键词
接收信号强度(RSSI)/聚类分析/高斯混合滤波/加权质心算法/距离修正Key words
received signal strength indication (RSSI)/cluster analysis/Gaussian mixture model/weighted centroid algorithm/distance rectification分类
信息技术与安全科学引用本文复制引用
杜佳星,陈亚伟,张静..基于聚类分析优化的距离修正室内定位算法[J].计算机工程与科学,2018,40(2):246-254,9.基金项目
国家863计划(2014AA015202) （2014AA015202）
