计算机应用与软件2018，Vol.35Issue(2)：130-133,160,5.DOI:10.3969/j.issn.1000-386x.2018.02.024
基于中心矩改进的WiFi室内定位算法
IMPROVED WIFI INDOOR LOCALIZATION ALGORITHM BASED ON CENTRAL MOMENT
摘要
Abstract
Positioning technology based on WiFi fingerprint is a hot field in the research of indoor positioning at home and abroad.In terms of the impact of the RSS value fluctuation caused by the real degeneration in indoor environment, the paper proposes an improved WKNN matching algorithm based on weighted central moment.In the offline phase,we extract the mean and the second-order central moment of the RSS as a fingerprint database,in online phase,we add the second moment characteristics of RSS values to the Euclidean distance to calculate in order to get the nearest K reference points which are close to the location point,and calculating the position to be positioned.The experimental results show that the selection of different matching algorithms will make the positioning error show obvious differences, and the improved WKNN algorithm we propose can effectively improve the indoor positioning accuracy.关键词
WiFi指纹/室内定位/中心矩/WKNN/定位精度Key words
WiFi fingerprint/Indoor positioning/Central moment/WKNN/Positioning accuracy分类
信息技术与安全科学引用本文复制引用
于洋,陈光,单志勇,陈艳..基于中心矩改进的WiFi室内定位算法[J].计算机应用与软件,2018,35(2):130-133,160,5.基金项目
国家自然科学基金项目(61671006). （61671006）
