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Dynamic-scale transformation for UHF RFID tag collision separation on physical layer

机译:用于物理层上UHF RFID标签碰撞分离的动态规模转换

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In a passive ultra-high frequency (UHF) radio-frequency identification (RFID) system, when multiple tags select a single time slot to backscatter their signals simultaneously to a reader, the tags will collide with each other. In this case, the slot is a useless slot and the collided tags will re-select other slots to backscatter their signals until no collision happens. However, an MAC-physical (PHY) cross-layer approach does not view the collision slot as a useless one2, where collided tags could be separated and identified. Therefore, the cross-layer approach can enhance the identification efficiency. This paper proposes a separated algorithm on a PHY layer, which firstly utilizes a dynamic-scale transformation to transform the collided signals to time-scale domains. And then, a transforming matrix would be obtained from the transformation. Finally, LS criterion and MMSE criterion are applied to the collided tag signal separation. Simulation results show that, in contrast to existing tag signal separation algorithms, the proposed algorithm can separate more than two collided tag signals under single-antenna condition. Also, the algorithm has better performance of the separation even without capture effect.
机译:在无源超高频(UHF)射频识别(RFID)系统中,当多个标签选择一个时隙以同时将其信号反向散射到读取器时,这些标签将相互碰撞。在这种情况下,该插槽是无用的插槽,冲突的标签将重新选择其他插槽以反向散射其信号,直到没有冲突发生为止。但是,MAC物理(PHY)跨层方法不会将冲突时隙视为无用的冲突时隙,在冲突时隙中可以分离并识别冲突的标签。因此,跨层方法可以提高识别效率。本文提出了一种在PHY层上的分离算法,该算法首先利用动态标度变换将冲突信号转换到时标域。然后,将从变换中获得变换矩阵。最后,将LS准则和MMSE准则应用于冲突标签信号的分离。仿真结果表明,与现有的标签信号分离算法相比,该算法在单天线条件下可以分离两个以上的冲突标签信号。而且,该算法即使没有捕获效果也具有更好的分离性能。

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