Convert Wi-Fi Signals for Fingerprint Localization Algorithm

Convert Wi-Fi Signals for Fingerprint Localization Algorithm
复制标题

转换 Wi-Fi 信号以用于指纹定位算法

DOI:
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发表时间:
2011
期刊:
International Conference on Wireless Communications, Networking and Mobile Computing
影响因子:
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通讯作者:
N. Nguyen
N. Nguyen
中科院分区:
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文献类型:
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作者:
T. Le;H. M. Le;Nhu Q. T. Nguyen;D. Tran;N. Nguyen

文献摘要

被引文献

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本文介绍了一种与指纹定位算法相结合的方法,使其更适用于多种不同的移动设备。原始的指纹定位算法只在训练阶段用于构建地图的样本设备上有效地执行。因此,每台新设备都需要完整的培训,这一过程非常耗时(几个小时或更长时间)。我们提出了一种方法,可以避免这个耗时的过程,并且只需要快速的校准步骤(几分钟)。当使用指纹算法进行测试时,我们的方法在移动设备上的准确率达到69%。这项实验是在从16种不同移动设备收集的224小时数据上进行的。
This paper introduces a method which works together with the fingerprint localization algorithm in order to make it more applicable to many different mobile devices. The original fingerprint localization algorithm performs effectively only on the sample device used to build map in the training phase. Thus, full training is needed for each new device and this process is time-consuming (few hours or more). We propose an approach that can avoid this time-consuming process and only requires a quick calibration step (a few minutes). When tested with a fingerprint algorithm, our method achieves an accuracy of 69% on mobile devices. The experiment was performed on a 224-hour collected data from 16 different mobile devices.