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面向能量中性物联网传感器:基于COTS微控制器和多负载前端的低成本啁啾反向散射节点

Towards Energy-Neutral IoT Sensors: Low-Cost Chirp-Based Backscattering Node Using a COTS Microcontroller and Multi-Load Front-End

Tijl Schepens, Liesbet Van der Perre, Gilles Callebaut

arXiv 2609.28052首次发表:更新:

发表机构

KU Leuven(荷语鲁汶大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本文研究仅用COTS组件实现反向散射发射机的实际限制,提出多负载架构和基于散射参数的负载设计方法,原型实现单边带啁啾传输,抑制载波和第二边带10 dBm,实现低成本能量中性物联网传感器。

AI 中文摘要

反向散射通信已被证明是实现物联网中能量中性传感器节点的关键使能技术。它允许超低功耗节点通过反射入射射频信号来传输传感器数据。实际的大规模部署需要既成本高效又广泛可用的硬件解决方案。本文研究了仅使用COTS组件实现反向散射发射机的实际限制。我们在硬件要求、复杂度和频谱效率方面比较了双负载和多负载架构,突出了最重要的权衡。我们使用资源受限的低功耗微控制器开发了一种多负载反向散射架构,利用DMA实现高切换速度,同时最小化处理开销。此外,我们提出了一种基于散射参数的布局无关的负载设计方法,允许精确控制反射系数。原型实现展示了具有降低谐波失真的单边带啁啾反向散射传输的成功。测量结果显示,反向散射载波和第二边带的抑制达到10 dBm。这表明可以使用COTS组件构建低成本传感器节点,实现延长寿命的远程监控。

英文摘要

Backscatter communication has proven to be a key enabler for energy-neutral sensor nodes in the IoT. It allows ultra-low-power nodes to transmit sensor data by reflecting incident RF signals. Practical large-scale deployment requires hardware solutions that are both cost-efficient and widely available. This paper investigates the practical limits of implementing backscatter transmitters exclusively using COTS components. We compare a two-load and multi-load architecture in terms of hardware requirements, complexity and spectral efficiency highlighting the most important trade-offs. A multi-load backscatter architecture is developed using a resource constrained low-power microcontroller, levering DMA to achieve high switching speeds while minimizing processing overhead. Furthermore, we present a layout agnostic load design methodology based on scattering parameters, allowing precise control of the reflection coefficients. A prototype implementation demonstrates a successful backscatter transmission of a single-sideband chirp with reduced harmonic distortion. Measurement results show suppression of the backscattered carrier and the second sideband by 10 dBm. This demonstrates that low-cost sensor nodes can be built using COTS components enabling remote monitoring at extended lifetimes.

论文原文

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