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Performance bounds for multipath-assisted indoor localization on backscatter channels

机译:反向散射通道上多径辅助室内定位的性能界限

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In this paper, we derive the Cramer-Rao lower bound (CRLB) on the position error for an RFID tag localization system exploiting multipath on backscatter radio channels. The backscatter channel is modeled with a hybrid deterministic/stochastic channel model. In this way, both the geometry of the deterministic multipath components (MPCs) and the interfering diffuse multipath are taken into account. Computational results show the influence of the room geometry on the bound and the impact of the diffuse multipath. Time reversal (TR) processing on the uplink channel is analyzed using the deterministic MPCs to overcome the degenerate nature of the backscatter channel. The CRLB shows the potential gain obtained from TR processing as well as its strong dependence on the geometry. Such TR processing has been proposed for TX waveform adaptation in the perception-action cycle of a cognitive radar. The results of this paper illustrate that it can indeed influence beneficially the measurement noise of the received signal, yielding control over the localization system.
机译:在本文中,我们推导了利用反向散射无线电信道上的多路径的RFID标签定位系统位置误差的Cramer-Rao下限(CRLB)。使用混合确定性/随机性信道模型对反向散射信道进行建模。这样,既要考虑确定性多径分量(MPC)的几何形状,又要考虑干扰性的漫射多径。计算结果显示了房间几何形状对边界的影响以及漫反射多径的影响。使用确定性MPC分析上行链路信道上的时间反转(TR)处理,以克服反向散射信道的退化性质。 CRLB显示了从TR处理获得的潜在增益,以及它对几何形状的强烈依赖性。已经提出了这样的TR处理用于认知雷达的感知-动作周期中的TX波形适应。本文的结果表明,它确实可以有效地影响接收信号的测量噪声,从而可以对定位系统进行控制。

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