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机构地区:[1]中国科学院光电研究院,北京100094 [2]中国科学院大学,北京100094
出 处:《计算机技术与发展》2015年第3期1-5,共5页Computer Technology and Development
基 金:国家"863"高技术发展计划项目(2012AA121005)
摘 要:基于WLAN(Wireless Local Area Network)网络的指纹定位技术是当前室内定位领域的研究热点。随着WLAN网络的普及,特别是在商场、高校、写字楼等环境中,AP(Access Point)的布置已经非常密集,终端可视AP数量很多,为WLAN定位提供了良好的基础。但是,由于遮挡以及AP节点故障造成的信号不稳定等因素,导致使用全部可视AP节点进行定位不一定能得到最好的定位结果。因此,在定位计算中对AP节点进行适当的选择是必要的。针对此问题,提出了四种AP节点的选择策略,并通过实际搭建的WLAN定位网络对所提的AP选择策略进行了实验验证。结果表明:对AP进行选择是必要的;恰当的AP选择策略能有效提高定位精度。The fingerprint positioning technology based on WLAN( Wireless Local Area Network) is the hotspot in the field of indoor positioning at present. With the popularity of WLAN in public places such as shopping malls,universities and office buildings,there are many available terminal AP( Access Point) nodes because of the high density of AP distribution,which provide good foundation for WLAN-based positioning. However,since the signal instability caused by frequently blocking and occasional failure of AP nodes,optimal positioning result cannot be guaranteed in the case of using all available AP nodes. The selection algorithm of AP nodes is more demanding in such a case. In this paper,four novel AP selection algorithms were proposed. The real-w orld experiments were carried out to verify the proposed algorithms. The result show s that the selection of AP is essential and necessary in terms of achieving better positioning performance. Moreover,appropriate AP selection algorithm can effectively improve the positioning accuracy.
分 类 号:TP31[自动化与计算机技术—计算机软件与理论]
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