普适环境下基于区间值模糊理论的指纹定位算法  

Fingerprint locating algorithm based on interval-valued fuzzy theory for ubiquitous computing

作　　者：钱梦竹 杨新凯[1] 

机构地区：[1]上海师范大学信息与机电工程学院,上海200234

出　　处：《上海师范大学学报（自然科学版）》2014年第2期143-147,共5页Journal of Shanghai Normal University(Natural Sciences)

摘　　要：定位是普适计算的重要应用之一,但是获取精确的位置上下文信息并非易事.因此,提出了一种基于区间值模糊理论的算法来处理位置上下文信息的不确定性.首先介绍了室内定位系统的大体框架,并探讨了它们的优缺点;然后提出基于区间值模糊理论的定位算法,该算法包括两个阶段:离线阶段建立指纹库和在线阶段进行实时定位;最后,利用室内定位实验来证明算法的精确性.Locating is one of the important applications for ubiquitous computing,while it is difficult to obtain the accurate location context. This paper proposes an interval-value based fuzzy method to deal with uncertainty for location context. Firstly,a general framework of indoor locating system is described. Its advantages and disadvantages are discussed. Then the interval-valued fuzzy fingerprint locating algorithm is provided. This algorithm includes two phases,the phase of off line database establishing and the phase of online real-time fuzzy locating. An indoor locating experiment is used to verify the accuracy of this algorithm.

关 键 词：普适计算 区间值模糊理论 室内定位 指纹 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]