计算机技术与发展2016，Vol.26Issue(9)：50-55,6.DOI:10.3969/j.issn.1673-629X.2016.09.012
基于卡方距离改进的WLAN室内定位算法
Improved WLAN Localization Algorithm Based on Chi-square Distance
摘要
Abstract
WLAN-based localization service has become a hotspot for smarter city nowadays. Among the localization algorithms,the clas-sical Euclidean distance solely keeps count of the absolute distance between the RSSI vector and overlooks the relative distance between the RSSI vector. And it can only give the same weight to every AP. In order to overcome the defects of Euclidean distance,a new algo-rithm based on Chi-square distance and sensitivity method for WLAN indoor localization is proposed. The algorithm uses fingerprinting technique to make training dataset and testing dataset,then uses Chi-square distance and sensitivity method to correct the training dataset which will be used in the online localization phase and get the weight of every AP in the algorithm in order to improve positioning accura-cy. The results show that the proposed algorithm has better accuracy compared with the classical Euclidean distance.关键词
室内定位/无线局域网/位置指纹/卡方距离/灵敏度法Key words
indoor localization/WLAN/fingerprint/Chi-square distance/sensitivity method分类
信息技术与安全科学引用本文复制引用
陶峥,王洪玉..基于卡方距离改进的WLAN室内定位算法[J].计算机技术与发展,2016,26(9):50-55,6.基金项目
国家自然科学基金资助项目(61172058) （61172058）
高等学校博士学科点专项科研基金(20120041110011) （20120041110011）
