摘要
室内定位是目前无线通信技术领域的热点问题之一,基于WLAN的位置指纹定位技术随着WLAN的快速发展而急速升温。然而随着人们生活水平的提高,兴建了大量的高层建筑如大型文化体育场馆等。要实现这些场景下的定位,不仅需要解决二维平面内的定位,楼层的判别也是亟待解决的问题。本文提出了一种基于K-means算法的WLAN室内定位楼层判别方法,用于提高楼层判别的准确性,改善用户体验感。通过仿真实验验证方法的效果,结果表明本文提出的方法有助于楼层判别准确率的提高,并且使用较少的时间。
The indoor positioning system is one of the hot issues in the field of wireless communication technology. The WLAN- based fingerprint positioning technology research becomes popular as the rapid development of WLAN. However, with the improvement of people＇s living standards, a large number of large-scale buildings are constructed, such as gymnasium. To realize positioning of these scenarios, not only the positioning within the two planes, but also the identification of the floors is important. This paper presents a K-means- based method in WLAN indoor location system to identify the current floor of a user in tall multi-floor buildings. It can be used to improve the user experience. The results of experiment under simulation condition shows that the proposed method helps to improve the floors identification accuracy, and consumes less time.
出处
《软件》
2012年第12期114-117,共4页
Software
基金
国家863计划资助项目(编号:2009AA12Z324)
