MulTLoc: RF Hologram Tensor Filtering and Upscaling for Locating Multiple RFID Tags
MulTLoc: RF Hologram Tensor Filtering and Upscaling for Locating Multiple RFID Tags
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DOI：
10.1109/icccn52240.2021.9522256
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发表时间：
2021-07
期刊：
影响因子：
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通讯作者：
Xiangyu Wang;Jian Zhang;S. Mao;Senthilkumar C. G. Periaswamy;J. Patton
中科院分区：
文献类型：
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作者：
Xiangyu Wang;Jian Zhang;S. Mao;Senthilkumar C. G. Periaswamy;J. Patton
本文提出了一种基于深度学习的室内定位系统--MulTLoc，用于定位多个超高频(UHF)无源射频识别标签。该系统利用射频全息张量作为深卷积网络的输入。射频全息张量在观测和空间位置之间表现出很强的相关性，这增强了系统对动态环境和设备的鲁棒性。为了净化射频全息张量，提出了两种深度网络体系结构。全息图滤波网络通过利用标签之间的空间关系来抑制多径和相位包裹所产生的伪峰。张量提升网络从前一个网络的输出中恢复出高分辨率全息张量，进一步提高了系统的定位精度。与使用深度网络作为分类器的基于指纹的定位系统相比，MulTLoc系统中的网络将定位问题处理为回归问题，其中保留了指纹之间的歧义。为了避免基于指纹的定位系统中固有的误差，利用恢复的射频全息张量通过直观的峰值查找算法给出位置估计。我们使用商品化的RFID设备实现了所提出的MulTLoc系统，并通过大量的实验验证了其性能。
In this paper, we present MulTLoc, a deep learning based indoor localization system for localizing multiple ultra-high frequency (UHF) passive RFID tags with RF hologram tensor filtering and upscaling. The proposed system leverages the RF hologram tensor as the input of the deep convolutional networks. The RF hologram tensor exhibits a strong relationship between the observation and the spatial location, which enhances the robustness of the system to the dynamic environment and equipment. To sanitize the RF hologram tensor, two architectures of deep networks are newly proposed. The hologram filter network suppresses the fake peaks resulting from the multipath and phase wrapping by leveraging the spatial relationship between tags. The tensor upscaling network recovers the high resolution hologram tensor from the output of the previous network, which enhances the localization accuracy of the system further. Comparing with the fingerprinting based localization systems using deep networks as the classifier, the networks in the MulTLoc system treat the localization problem as the regression problem, in which the ambiguity between fingerprints is reserved. To avoid the inherent errors in the fingerprinting based localization systems, the location estimation is given by intuitive peak finding algorithms using the recovered RF hologram tensor. We implement the proposed MulTLoc system with commodity RFID devices and verify its performance with extensive experiments.