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一种基于LoRa的动态识别和楼层判定方法
2021年电子技术应用第8期
韩一石,曾祥威,李 贤,陈佳瀚,洪远霖
广东工业大学 信息工程学院,广东 广州510006
摘要:针对室内三维定位中垂直方向的楼层判定算法复杂度高、准确率低等问题,提出一种基于LoRa的动态识别和楼层判定方法。首先,在楼宇内按需部署纵向定位设备;然后,建立室内各层楼梯口的LoRa信号指纹库,划定对应不同楼层信号强度特征的判定阈值;最后结合LoRa-RSSI动态识别和楼层判定方法,捕捉室内动态下无线信号强度的实时变化,实现上下楼活动动态识别,提高楼层判定的准确率。实验结果表明,方法识别判定准确率达97.9%,实现简单,不受外界环境影响,可快速按需部署。结合室内二维定位技术,提供了一种新的室内人、物三维定位方法和思路。
中图分类号:TN99
文献标识码:A
DOI:10.16157/j.issn.0258-7998.211349
中文引用格式:韩一石,曾祥威,李贤,等. 一种基于LoRa的动态识别和楼层判定方法[J].电子技术应用,2021,47(8):81-86.
英文引用格式:Han Yishi,Zeng Xiangwei,Li Xian,et al. A dynamic identification and floor determination method based on LoRa[J]. Application of Electronic Technique,2021,47(8):81-86.
A dynamic identification and floor determination method based on LoRa
Han Yishi,Zeng Xiangwei,Li Xian,Chen Jiahan,Hong Yuanlin
School of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China
Abstract:Aiming at the problems of high complexity and low accuracy of vertical floor determination algorithm in indoor three-dimensional positioning, this paper proposes a dynamic identification and floor determination method based on LoRa.First of all, this article on-demand deploys vertical positioning equipment within the building.And then, it sets up the indoor stairs LoRa signals in each layer fingerprint and draws corresponding to the different characteristics of signal strength floor for determining threshold. Finally, by combining with LoRa-RSSI dynamic identification and determination methods, it captures real-time change of indoor wireless signal strength in dynamic condition, achieves dynamic identification of up and down the stairs,and enhances the accuracy in floor to judge.The experimental results show that the recognition accuracy of this method reaches 97.9%,and it is simple to implement and less affected by the external environment , which could be deployed quickly on demand.Combined with the indoor two-dimensional positioning technology, this method provides a new method and idea for indoor three-dimensional positioning of people and objects.
Key words :floor determination;dynamic identification;LoRa;RSSI;rapid deployment

0 引言

针对室内定位技术研究,近年来中外学者提出了多种定位方法,例如基于ZigBee、超声波、红外线、RFID、蓝牙、无线局域网、超宽带(Ultra-Wideband,UWB)、可见光通信、计算机视觉、地磁等技术研究,这些定位算法普遍聚焦于二维平面的定位[1-3],对三维楼层识别的关注度相对较少[4],难以应对当前建筑环境下室内三维定位需求。精准的楼层识别可以减少空间搜索域并提高本地化准确性,在紧急情况下,准确的楼层信息对救援人员至关重要,可提供有效的紧急服务。




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作者信息:

韩一石,曾祥威,李 贤,陈佳瀚,洪远霖

(广东工业大学 信息工程学院,广东 广州510006)




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