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作 者:江小平[1,2] 王妙羽 丁昊 李成华[1,2] JIANG Xiaoping;WANG Miaoyu;DING Hao;LI Chenghua(School of Electronic Engineering,South-central University for Nationalities,Wuhan 430074,China;Hubei Province Key Laboratory of Intelligent Wireless Communication,Wuhan 430074,China)
机构地区:[1]中南民族大学电子信息工程学院,武汉430074 [2]湖北省智能无线通信重点实验室,武汉430074
出 处:《电子与信息学报》2020年第5期1165-1171,共7页Journal of Electronics & Information Technology
基 金:国家自然科学基金(61402544);中南民族大学中央高校专项(CZQ14001);湖北省自然科学基金(2017CFB874);中央高校基本科研业务费专项(CZY17001)。
摘 要:基于信道状态信息(CSI)的室内定位技术近几年备受关注。已提出的室内定位方案主要在适用性和定位精度等方面进行不断地创新和改进。该文提出一种被动式的1发2收指纹室内定位系统。用两个固定接收端采集CSI数据,信号预处理阶段对CSI幅值进行奇异值去除与低通滤波,用线性拟合的方法对CSI相位进行校正,将两个接收端采集处理得到的CSI幅值和相位信息共同作为指纹,最终通过全连接神经网络对指纹样本进行训练,并与采集到的实时数据进行匹配识别。实验表明,采用两个接收端以及幅值和相位结合定位的方法,匹配识别率达到了98%,定位精度达到0.69 m。证明该系统能精确有效地实现室内定位。Indoor positioning technology based on Channel State Information(CSI) receives much attention in recent years. The existing indoor positioning solution is continuously innovative and improved in terms of deployment implementation and positioning accuracy. This paper proposes a passive one-transmitter tworeceivers fingerprint indoor positioning system. The CSI data is collected by two fixed receiving end-devices. In the signal preprocessing stage, the CSI amplitude is singular value removed and low pass filtered, and the CSI phase is corrected by a linear fitting method, and the CSI amplitude and phase information obtained by the two receiving ends are collectively used as fingerprint samples. The fingerprint samples are finally trained through the fully connected neural network, and matched with the collected real-time data. Experiments show that the matching recognition rate reaches 98% by using two receivers and the combination of amplitude and phase positioning, and the positioning accuracy is 0.69 m. It proves that the system can accurately and effectively achieve indoor positioning.
关 键 词:室内定位 信道状态信息 幅值-相位指纹 神经网络
分 类 号:TN911.7[电子电信—通信与信息系统]
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