NS3网络模拟器中LoRa定位算法的设计与实现

Mingyao Chen, Honggang Zhao, Dezhi Niu, Chen Shi, Xiaoyu Chen, Xiao Zhang
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引用次数: 0

摘要

近年来,基于tdoa的LoRa地理定位技术受到物联网研究人员的青睐。然而,目前对该技术的研究大多是物理实验,缺乏可扩展性。本文采用高度开源的NS3网络模拟器设计并实现了基于TDOA的LoRa地理定位过程。在现有LoRaWAN模块的基础上,增加网关接收时间提取、时钟噪声仿真和基于tdoa的坐标求解算法,仿真噪声环境下LoRa地理定位的性能。仿真结果表明,改进后的LoRaWAN模块能够很好地支持LoRa地理定位的实现,仿真结果符合LoRa联盟发布的LoRaWAN地理定位白皮书中提出的TDOA定位精度范围。其中,当网关时钟噪声的标准差为100ns,且网关采用不均匀分布策略时,采用3个网关的LoRa地理定位的平均误差为130.36m,采用5个网关的LoRa地理定位的平均误差为33.00m。该仿真为LoRa地理定位研究提供了一个基础平台,可供后续研究人员参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and implementation of LoRa geolocation algorithm in NS3 network simulator
In recent years, TDOA-based LoRa geolocation technology is favored by IOT researchers. However, the current researches on this technology are mostly physical experiments, which are not scalable enough. In this paper, the highly open source NS3 network simulator is used to design and implement the LoRa geolocation process based on TDOA. On the basis of the existing LoRaWAN module, the gateway receiving time extraction, clock noise simulation and TDOA-based coordinate solving algorithm are added to simulate the performance of LoRa geolocation in the noise environment. Simulation results show that the improved LoRaWAN module can support the realization of LoRa geolocation well, and the simulation results conform to the TDOA positioning accuracy range in the LoRaWAN geolocation whitepaper published by LoRa Alliance. Specifically, when the standard deviation of gateway clock noise is 100ns and the gateways adopt the strategy of uneven distribution, the mean error of LoRa geolocation using three gateways is 130.36m, and the mean error of LoRa geolocation using five gateways is 33.00m. This simulation provides a basic platform for LoRa geolocation research and can be used for reference by subsequent researchers.
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