Battery-free Wideband Spectrum Mapping using Commodity RFID Tags
Battery-free Wideband Spectrum Mapping using Commodity RFID Tags
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DOI：
10.1145/3570361.3592508
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发表时间：
2023-07
期刊：
影响因子：
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通讯作者：
Mohamed Ibrahim Ahmed;A. Bansal;Kuang Yuan;Swarun Kumar;P. Steenkiste
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文献类型：
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作者：
Mohamed Ibrahim Ahmed;A. Bansal;Kuang Yuan;Swarun Kumar;P. Steenkiste
本文介绍了RFIMap系统，该系统旨在以较低的成本在细粒度（几十厘米）上表征任何室内空间的射频频谱占用的时空分布。RFIMap使用低成本和无电池的商用RFID标签构建丰富的宽带室内频谱占用地图。RFIMap的频谱图具有广泛的应用，如智能制造和智能医院的环境干扰监测。RFIMap依赖于商品RFID标签在没有任何修改的情况下自然地反映其他频段的环境传输的观察。RFIMap使用这些反射来估计这些标签最初接收到的环境信号功率。RFIMap进一步对室内多径进行精细建模，构建具有精细空间粒度的密集谱图。我们的实验演示了在不同工业和大学环境下，2.4 GHz频段中值误差为2.15 dB， 470-700 MHz电视空白频段中值误差为4.45 dB, 1.8-1.9 GHz频段中值误差为2.1 dB的空间频谱测量。
This paper introduces RFIMap, a system that aims to inexpensively characterize the spatial and temporal distribution of RF spectrum occupancy of any indoor space at fine granularity (tens of centimeters). RFIMap builds rich wide-band indoor spectrum occupancy maps using low-cost and battery-free commodity RFID tags. RFIMap's spectrum maps have wide-ranging applications such as monitoring ambient interference in smart manufacturing, and smart hospitals. RFIMap relies on the observation that commodity RFID tags naturally reflect ambient transmission at other frequency bands, without any modification. RFIMap uses these reflections to estimate the ambient signal power originally received at these tags. RFIMap further performs a careful modeling of indoor multipath to build a dense spectrum map with fine spatial granularity. Our experiments demonstrate spatial spectrum measurement with 2.15 dB of median error at 2.4 GHz, 4.45 dB of median error at 470-700 MHz TV whitespace band, 2.1 dB of median error at 1.8-1.9 GHz in diverse industrial and university settings.