摘要
针对当前指纹定位技术需要基于多个接入点(AP)被动定位,导致单AP室内场景使用受限的问题,提出一种信道状态信息(CSI)商联合到达角(AOA)的室内指纹定位方法:指出技术关键是利用单链路上的多维信号参数来构建指纹模型;利用多进多出(MIMO)系统空间分集,构建CSI商以获得更稳健的CSI指纹信号,并结合多信号分类(MUSIC)算法原理设计一种多载波AOA指纹表示方法,该方法与原始CSI指纹相比具有区分性;然后为了解决单AP的AOA指纹对称性问题,将CSI商与AOA指纹相结合,得到新的指纹,通过机器学习的方法进行目标位置匹配。实验结果表明,本方法在空教室和实验室环境下的定位准确率分别达到98.96%和97.08%,平均定位误差分别为0.46 m和0.68 m,具有较高的定位性能。
Aiming at the problem that the current indoor fingerprint positioning techniques are of passive positioning based on multiple access points(APs),which limits the use of a single AP in indoor scenarios,the paper proposed an indoor fingerprint positioning method based on channel state information(CSI)and joint angle of arrival(AOA):it was pointed out that the key technique is to use multidimensional signal parameters on a single link to construct a fingerprint model;the spatial diversity in multiple input multiple output(MIMO)systems was utilized,and a CSI quotient was established to obtain more robust CSI fingerprint signals;then,a multi carrier AOA fingerprint representation method was designed based on the principle of multiple signal classification(MUSIC)algorithm,which has discriminability compared to the original CSI fingerprint;finally,in order to solve the symmetry problem of AOA fingerprints for a single AP,a new fingerprint was gained by combining CSI quotient with AOA fingerprints,and target position matching was performed through machine learning ways.Experimental results showed that the proposed method could achieve localization accuracy of 98.96%and 97.08%,with average localization errors of 0.46 m and 0.68 m in empty classroom and laboratory environments,respectively,demonstrating high localization performance.
作者
刘影
徐少锋
LIU Ying;XU Shaofeng(School of Electronic and Information Engineering,Liaoning Technical University,Huludao,Liaoning 125105,China)
出处
《导航定位学报》
CSCD
北大核心
2024年第5期70-79,共10页
Journal of Navigation and Positioning
关键词
无源定位
到达角(AOA)估计
信道状态信息(CSI)
位置指纹
指纹库
passive localization
angle of arrival(AOA)estimation
channel state information(CSI)
location fingerprint
fingerprint database
