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RFID Indoor Positioning Method Based on Virtual Reference Tags and Bayesian Estimation

机译:基于虚拟参考标签和贝叶斯估计的RFID室内定位方法

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摘要

At present, more and more applications require the indoor positioning information of objects, making the indoor positioning technology become one of the hotspots. In this paper, LANDMARC algorithm and VIRE algorithm are analysed, which allow the technology of Radio Frequency Identification (RFID) to be applied in indoor positioning. On this basis, the improvement is made and RFID indoor positioning method based on virtual reference tags and Bayesian estimation is proposed. Experimental results indicate that the improved algorithm has further improved than LANDMARC algorithm and VIRE algorithm in terms of positioning accuracy.
机译:当前,越来越多的应用需要物体的室内定位信息,使得室内定位技术成为热点之一。本文分析了LANDMARC算法和VIRE算法,将射频识别技术应用于室内定位。在此基础上进行了改进,提出了基于虚拟参考标签和贝叶斯估计的RFID室内定位方法。实验结果表明,改进后的算法在定位精度上比LANDMARC算法和VIRE算法有了进一步的提高。

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