测控技术2017，Vol.36Issue(8)：26-30,5.
基于WiFi的一种改进的室内定位算法
An Improved Indoor Localization Algorithm Based on WiFi
摘要
Abstract
In order to solve the problems that the positioning accuracy of indoor positioning algorithm is not high and the error is too large,a new method of signal energy weighting to improve the strength of received signal is proposed based on the original fingerprint matching algorithm.Through the mean signal filtering and threshold filtering of the improved signal energy,the data source of the fingerprint database is improved.In the online matching stage,the WKNN algorithm is improved,and the variance weighting is used to match the reciprocal of the European distance to match the similarity.Compared with the current WKNN algorithm,this method improves the localization effect while reducing the complexity.Without considering the influence of AP combination on the positioning results,the simulation results show that the improved algorithm can improve the positioning accuracy obviously.关键词
位置指纹/信号能量/方差加权/欧式距离倒数/均值滤波/阈值滤波Key words
location fingerprint/RSS/variance weighting/reciprocal of the European distance/mean filtering/threshold filtering分类
信息技术与安全科学引用本文复制引用
毛永毅,杨强强,徐萍..基于WiFi的一种改进的室内定位算法[J].测控技术,2017,36(8):26-30,5.基金项目
陕西省自然科学基金资助项目(2014JM2-6088) （2014JM2-6088）
