|Table of Contents|

Visible Light Indoor Positioning Based on Compressive Sensing Under Occlusion(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2018年02期
Page:
47-
Research Field:
·物理学·
Publishing date:

Info

Title:
Visible Light Indoor Positioning Based on Compressive Sensing Under Occlusion
Author(s):
Nie Shuai; Shao Jianhua; Ke Wei; Zhang Xiunan; Zhang Chunyan
School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China
Keywords:
visible light; indoor positioning; compressive sensing; reflection; occlusion
PACS:
TN929.1
DOI:
10.3969/j.issn.1001-4616.2018.02.009
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.

References:

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Last Update: 2018-11-06