Passive Wireless Channel Estimation in RF Tag Network
Passive Wireless Channel Estimation in RF Tag Network
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DOI：
10.1109/iscas.2019.8702681
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Yasha Karimi;Yuanfei Huang;A. Athalye;Samir R Das;P. Djurić;M. Stanaćević
中科院分区：
文献类型：
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作者：
Yasha Karimi;Yuanfei Huang;A. Athalye;Samir R Das;P. Djurić;M. Stanaćević
我们设想未来我们生活和工作环境中的每个物体都将携带一个或多个射频标签。基于后向散射标签到标签的通信链路，这些射频标签将在一个网络中连接，而不需要中央询问设备。我们提出了一种新的标签架构，使无源接收器能够估计无线标签到标签信道的参数。在后向散射标签处对不同反射相位的接收基带信号进行采样，可以估计标签到标签信道的幅度和相位。该信道估计器的低功耗实现，在包络检测之后，集成了基带信号的放大和滤波，然后进行模数转换。该信道估计器采用65纳米CMOS技术，在2.5%调制指数下灵敏度为- 45 dBm，功耗为122 nW。
We envision a future where every object in our living and working environment will carry one or more RF tags. Based on the backscattering tag-to-tag communication link, these RF tags will be connected in a network without the need for the central interrogating device. We present a novel tag architecture that enables estimation of the parameters of wireless tag-to-tag channel by a passive receiver. Sampling the received baseband signal at different reflecting phases at the backscattering tag enables estimation of amplitude and phase of the tag-to-tag channel. The low-power implementation of the channel estimator, after envelope detection, integrates amplification and filtering of the baseband signal that is followed by analog-to-digital conversion. The channel estimator, implemented in 65 nm CMOS technology, has sensitivity of −45 dBm at 2.5% modulation index and consumes 122 nW.