基于Android的室内定位系统的研究与实现

为满足定位市场的服务需求，改进传统的定位技术在室内使用存在着定位精确度低、耗电量大等缺点，作者对基于WiFi位置特征匹配的室内定位技术进行了深入研究，分析了各种因素对WiFi信号的影响以及一些常用定位算法的对比，通过在特征库建立阶段采用高斯过滤法剔除误差较大的信号强度值，提高了数据库中采集值的数据精度.在定位阶段采用改进的K加权近邻法，将改进后的算法作为在线匹配算法，有效地避免定位过程中偶然的信号波动给定位带来误差，设计与实现了一个基于Android系统的WiFi室内定位系统.

ResearchAnd Realization of the Indoor Positioning System Based on Android Platform

With the advancement of WiFi technology application,the market demand for location services is growing.In order to improve traditional positioning technology such as GPS,there is a low positioning accuracy,power consumption and other shortcomings used indoors.In this paper,the feature matching based on WiFi location of indoor positioning technology were studied,the influence of various factors on the WiFi signal was analyzed and the comparison of some commonly used localization algorithm,through the Gaussian filtering stage in the feature library establishment stage,the signal intensity values with larger error were eliminated to improve the data precision of the collected values in the database.In the positioning phase,an improved K-weighted neighbor method was used to avoid the positioning process of accidental signal fluctuations to the positioning error,an indoor positioning system based on the Android system and WiFi implementation were designed.