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A Semi-Blind Receiver for Ambient Backscatter Communications with MPSK RF Source

机译:半盲接收器,用于与MPSK RF源进行环境反向散射通信

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Ambient backscatter communication (AmBC) is a promising technology for energy-and spectrum-efficient Internet of Things (IoT) communication. In an AmBC system, due to the strong direct link interference and the difficulty in acquiring the channel state information (CSI), the detection of IoT device symbol becomes difficult. In this paper, we propose a semi-blind receiver, which includes the semi-blind channel estimator and the direct-link-averaging detector (DL-AD). The semi-blind channel estimator only relies on two pilot symbols from the IoT device to indicate different CSI without the RF source pilots, and can eliminate the effect of the RF source symbols. The DL-AD is based on the log likelihood ratio test. The simulation results show that the semi-blind receiver has very similar error probability performance compared with the constellation learning (CL) receiver that we proposed earlier, and it is simpler than the CL receiver. We also propose an iterative version of the semiblind receiver that has improved performance as shown in simulations.
机译:环境背向散射通信(AmBC)是一种具有节能和频谱效率的物联网(IoT)通信的有前途的技术。在AmBC系统中,由于强烈的直接链路干扰和获取信道状态信息(CSI)的困难,因此IoT设备符号的检测变得困难。在本文中,我们提出了一种半盲接收机,该接收机包括半盲信道估计器和直接链路平均检测器(DL-AD)。半盲信道估计器仅依靠来自IoT设备的两个导频符号来指示不同的CSI,而无需RF源导频,并且可以消除RF源符号的影响。 DL-AD基于对数似然比测试。仿真结果表明,与我们之前提出的星座学习(CL)接收机相比,半盲接收机具有非常相似的误码概率性能,并且比CL接收机更简单。我们还提出了一种半盲接收机的迭代版本,该版本具有改进的性能,如仿真所示。

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