无源射频标签网络中基于相位信道估计的协同反向散射

A. Ahmad, Xiao Sha, A. Athalye, Samir R Das, P. Djurić, M. Stanaćević
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引用次数: 0

摘要

射频标签采用基于包络检测器的无源接收,具有超低的通信功耗。标签到标签的链接需要激励信号的存在,无论是作为专用的连续波激励器还是环境射频信号。然而,该链接的范围有限。射频标签被动估计通信标签对之间无线信道的幅度和相位的能力使这些被动标签能够提供实时、精确、细粒度的环境射频指纹。相位估计还使相邻标签之间的协作成为可能,从而提高标签到标签链路本身的范围和鲁棒性。我们提出的策略,通过使用最优的协同反射和标签簇的反向散射来提高链接范围。我们证明,在最佳协同反射的情况下,距离发送标签16厘米的单个标签将链路范围提高了40%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collaborative Backscatter Based on Phase Channel Estimation in Passive RF Tag Networks
The RF tags offer ultra-low power cost of the communication due to the passive receiver based on envelope detector. The tag-to-tag link requires presence of excitation signal, either as a dedicated continuous wave exciter or an ambient RF signal. However, the link suffers from the limited range. The capability of RF tags to passively estimate the amplitude and phase of the wireless channel between pairs of communicating tags empowers these passive tags to provide a real-time, precise, fine-grained RF fingerprint of the environment. The phase estimation also enables collaboration between neighboring tags in order to improve the range and robustness of tag-to-tag link itself. We propose strategies that through the use of optimal collaborative reflection and backscatter of a cluster of tags improve the link range. We demonstrate that a single tag on a distance of 16 cm from the transmitting tag with optimal collaborative reflection improves the link range by 40%.
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