研究环境因素对LoRa 2.4GHz测距精度的影响，发现温湿度显著干扰定位结果。
Impact of Environmental Factors on LoRa 2.4 GHz Time of Flight Ranging Outdoors
- 在3×3网格上采集温湿度与测距数据，覆盖400平方米区域
- 基于DNN模型验证温湿度使测距误差显著增大
- 为户外高精度定位提供关键环境补偿依据，适合物联网部署者
在无线传感器网络/物联网中，节点定位对大范围环境监测和事件检测至关重要。由于典型WSN/IoT平台（如ESP32）时间分辨率较低（1微秒），且存在时间戳抖动，传统包级定位技术无法实现米级精度。为此，Semtech提出新型LoRa 2.4 GHz，支持射频飞行时间（ToF）测距，可在2.4-GHz ISM频段实现米级定位。然而，现有文献数据集覆盖有限，未考虑温度、湿度等环境因素。为此，在西交利物浦大学南校区体育场上，通过三个LoRa节点与基站配合，按3×3网格布局（共9个参考点，覆盖400平方米），连续三周同步记录测距数据及温湿度信息，并上传至基于ESP32的基站。初步实验使用简单深度神经网络（DNN）模型表明，环境因素（尤其是温度与湿度）对测距精度有显著影响，亟需发展更先进的环境补偿方法以提升室外定位可靠性。
原文摘要 · Abstract (English)
In WSN/IoT, node localization is essential to long-running applications for accurate environment monitoring and event detection, often covering a large area in the field. Due to the lower time resolution of typical WSN/IoT platforms (e.g., 1 microsecond on ESP32 platforms) and the jitters in timestamping, packet-level localization techniques cannot provide meter-level resolution. For high-precision localization as well as world-wide interoperability via 2.4-GHz ISM band, a new variant of LoRa, called LoRa 2.4 GHz, was proposed by semtech, which provides a radio frequency (RF) time of flight (ToF) ranging method for meter-level localization. However, the existing datasets reported in the literature are limited in their coverages and do not take into account varying environmental factors such as temperature and humidity. To address these issues, LoRa 2.4 GHz RF ToF ranging data was collected on a sports field at the XJTLU south campus, where three LoRa nodes logged samples of ranging with a LoRa base station, together with temperature and humidity, at reference points arranged as a 3x3 grid covering 400 square meter over three weeks and uploaded all measurement records to the base station equipped with an ESP32-based transceiver for machine and user communications. The results of a preliminary investigation based on a simple deep neural network (DNN) model demonstrate that the environmental factors, including the temperature and humidity, significantly affect the accuracy of ranging, which calls for advanced methods of compensating for the effects of environmental factors on LoRa RF ToF ranging outdoors.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。