Paper Info
Title
An Accurate Visible Light Positioning System Using Regenerated Fingerprint Database Based on Calibrated Propagation Model
Abstract
This paper reports the development of a practical visible light positioning (VLP) system using received signal strength. The indoor localization system is accurate and easy to train and calibrate despite using fingerprinting technique. The VLP system consists of cheap photodiode-based receiver and consumer grade LED luminaires. The impact of distance metrics used to compute the weights of the weighted <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> -nearest neighbor (WKNN) algorithm on the localization accuracy of the VLP is investigated. Experimental results show that square chord distance is the most robust and accurate metric and significantly outperforms the commonly used Euclidean distance metric. A room-scale implementation shows that a mean error of 2.2 cm and a 90-percentile error of 4.9 cm within a 3.3 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text {m} \times 2.1$ </tex-math></inline-formula> m 2-D floor space are achievable. However, the high localization accuracy comes at the cost of requiring 187 offline measurements to construct the fingerprint database. A method for estimating an optical propagation model using only a handful of measurements is developed to address this problem. This leads to the creation of a dense and accurate fingerprinting database through fabricated data. The performance of the VLP system does not degrade noticeably when the localization is performed with the fabricated data. A mean error of 2.7 cm and a 90-percentile error of 5.7 cm are achievable with only 12 offline measurements.
Year
DOI
Venue
2019
10.1109/tim.2018.2870263
IEEE Transactions on Instrumentation and Measurement
Keywords
Field
DocType
Databases,Frequency modulation,Measurement,Lighting,Wireless communication,Hardware,Receivers
k-nearest neighbors algorithm,Wireless,Euclidean distance,Algorithm,Mean squared error,Electronic engineering,Frequency modulation,Chord (music),Calibration,Mathematics,Photodiode
Journal
Volume
Issue
ISSN
68
8
0018-9456
Citations 
PageRank 
References 
2
0.41
0
Authors
4
Name
Order
Citations
PageRank
Fakhrul Alam1209.06
Chew Moi Tin2257.14
Tapiwanashe Wenge320.41
Gourab Sen Gupta45417.61