[1]聂 帅,邵建华,柯 炜,等.遮挡情况下基于压缩感知的可见光室内定位[J].南京师范大学学报(自然科学版),2018,41(02):47.[doi:10.3969/j.issn.1001-4616.2018.02.009]
　Nie Shuai,Shao Jianhua,Ke Wei,et al.Visible Light Indoor Positioning Based on Compressive Sensing Under Occlusion[J].Journal of Nanjing Normal University(Natural Science Edition),2018,41(02):47.[doi:10.3969/j.issn.1001-4616.2018.02.009]
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遮挡情况下基于压缩感知的可见光室内定位()
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《南京师范大学学报》（自然科学版）[ISSN:1001-4616/CN:32-1239/N]

卷:
第41卷
期数:
2018年02期
页码:
47
栏目:
·物理学·
出版日期:
2018-06-30

文章信息/Info

Title:
Visible Light Indoor Positioning Based on Compressive Sensing Under Occlusion
文章编号:
1001-4616(2018)02-0047-07
作者:
聂 帅; 邵建华; 柯 炜; 张秀楠; 张春艳
南京师范大学物理科学与技术学院,江苏 南京 210023
Author(s):
Nie Shuai; Shao Jianhua; Ke Wei; Zhang Xiunan; Zhang Chunyan
School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China
关键词:
可见光; 室内定位; 压缩感知; 反射; 遮挡
Keywords:
visible light; indoor positioning; compressive sensing; reflection; occlusion
分类号:
TN929.1
DOI:
10.3969/j.issn.1001-4616.2018.02.009
文献标志码:
A
摘要:
针对室内复杂环境对可见光定位精度的影响,提出了一种新颖的基于压缩感知的室内可见光定位算法. 该方法将目标位置定义为离散空间上的稀疏向量,将接收端接收到的光功率测量矩阵表示为压缩感知理论中测量矩阵、稀疏矩阵与稀疏向量的乘积形式,并且运用稀疏信号重构算法恢复目标位置. 可以有效地解决噪声、反射光以及遮挡等环境干扰对定位精确度的影响. 与基于接收信号强度的三边定位方法相比,能够有效地降低在房间角落的定位误差. 仿真结果表明,该方法具有很高的定位精度,能有效地对抗室内复杂环境干扰.
Abstract:
A novel visible light indoor positioning algorithm is proposed by exploiting the compressive sensing theory,aiming at the influence on the positioning accuracy of visible light under complex circumstance indoors. In this method,the target position was defined as a sparse vector in discrete space,and the optical power measurement matrix received by the receiver is expressed as the product of the measurement matrix,the sparse matrix and the sparse vector in the compressed sensing theory,and the sparse signal reconstruction algorithm is used to recover target location. Thus the positioning accuracy was effectively improved by the impact of noise,reflection and occlusion and other environmental interference. It can be concluded from simulation that the method was highly accurate in positioning and functioned well in the interference of complex circumstances indoors.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-02-27.
基金项目:教育部博士点基金(2013102SBJ0265).
通讯联系人:邵建华,教授,研究方向:无线电和可见光通信. E-mail:shaojianhua@njnu.edu.cn
更新日期/Last Update: 2018-11-06