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Localization Performance Analysis for Passive UHF RFID Technology Employing Directional Antennas and Omnidirectional Antennas

机译:使用定向天线和全向天线的无源UHF RFID技术的本地化性能分析

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摘要

By the advantages of small size, low cost and easy deployment, passive Ultra High Frequency Radio Frequency Identification (UHF RFID) technology has become one of the most popular indoor localization technologies. As the most common measurement information, Received Signal Strength Indicator (RSSI) is severely affected by the complex indoor environments, like multi-path propagation, Non-Line-of-Sight propagation, noise, etc. It eventually reduces location estimation accuracy. To improve the accuracy of RSSI-based algorithms, pattern matching algorithms are utilized with extra reference tags at fixed and known locations. One of the typical pattern matching algorithms is k-Nearest Neighbor (k-NN) algorithm. There is a problem for pattern matching algorithms utilized into real applications. That is the usually utilized RFID antenna is directional in industries while the algorithms are tested with omnidirectional antennas in experimental tests during research. In this paper, we take k-NN as an example to further analyze the performance difference between these two kinds of antennas. Experimental results show that the localization performance of k-NN algorithms with directional antennas utilized is worse than the results with omnidirectional antennas. But the performance is no significant difference.
机译:由于体积小,成本低,易于部署的优点,无源超高频射频识别(UHF RFID)技术已成为最受欢迎的室内定位技术之一。作为最常见的测量信息,接收信号强度指示器(RSSI)受复杂的室内环境的严重影响,例如多径传播,非视线传播,噪声等。它最终会降低位置估计的准确性。为了提高基于RSSI的算法的准确性,模式匹配算法与固定位置和已知位置的额外参考标签一起使用。典型的模式匹配算法之一是k最近邻居(k-NN)算法。用于实际应用中的模式匹配算法存在一个问题。这就是工业上通常使用的RFID天线是定向的,而在研究过程中的实验测试中使用全向天线对算法进行了测试。本文以k-NN为例,进一步分析了这两种天线的性能差异。实验结果表明,采用定向天线的k-NN算法的定位性能要比全向天线的性能差。但是性能没有明显差异。

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