PDR-Aided Algorithm with WiFi Fingerprint Matching for Indoor Localization
PDR-Aided Algorithm with WiFi Fingerprint Matching for Indoor Localization
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DOI：
10.4028/www.scientific.net/amm.701-702.989
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发表时间：
2014-12
期刊：
影响因子：
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通讯作者：
W. Yu;Peng Li;Z. Chen;Chang Li
中科院分区：
文献类型：
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作者：
W. Yu;Peng Li;Z. Chen;Chang Li
最近，室内定位对于许多移动和社交网络应用程序的基于位置的服务至关重要。由于无线信号的波动，简单的基于WiFi指纹的定位精度不高。本文首先利用行人航迹推算（PDR）技术克服无线信号波动问题，然后提出一种行人航迹推算辅助WiFi指纹匹配的室内定位算法，利用PDR技术辅助室内定位。实验结果表明，该算法具有较好的室内定位精度。
Recently, indoor localization is essential to enable location-based services for many mobile and social network applications. Due to fluctuation of the wireless signal, the accuracy of a simple WiFi fingerprint-based localization is not high. In this paper, we first exploit Pedestrian Dead Reckoning (PDR) technology to overcome the problem of the wireless signal fluctuation, then propose a PDR-aided algorithm with WiFi fingerprint matching for indoor localization, which using the PDR technology aided indoor localization. Experiments show that our algorithm has better accuracy than other indoor localization methods.