计算机应用研究2017，Vol.34Issue(7)：2019-2022,4.DOI:10.3969/j.issn.1001-3695.2017.07.022
基于方差滤波的动态自适应室内指纹定位算法
Dynamic and adaptive indoor fingerprint localization algorithm based on variance filtering
张力仁 1沈建京1
作者信息
- 1. 信息工程大学 理学院, 郑州 450001
- 折叠
摘要
Abstract
The noise value occured at the reference point of the received signal strength value when building a fingerprint database and traditional Euclidean distance ignored the stability of the access points resulting positioning error and K-nearest neighbor algorithm could not be dynamically determined the number of reference points involved in locating based on the actual circumstances,which leaded to the lack of stability and expansion.For the above situation,this paper presented a dynamic and adaptive fingerprint indoor location algorithm based on variance filtering.Firstly,the algorithm used the variance filter to remove the noise value in the offline stage.Secondly,the algorithm used a new formula based on the variance to calculate the distance between the respective reference point and the point to be positioned.Finally,it used K reference points dynamically determined to weighted calculate the point to be located.Experimental results show that the algorithm has higher accuracy and stability.关键词
K近邻分类算法/方差滤波/动态自适应/欧氏距离/指纹定位算法Key words
K nearest neighbor algorithm/variance filter/dynamic and adaptive/Euclidean distance/fingerprint localization algorithm分类
信息技术与安全科学引用本文复制引用
张力仁,沈建京..基于方差滤波的动态自适应室内指纹定位算法[J].计算机应用研究,2017,34(7):2019-2022,4.
