TY - JOUR
T1 - Accuracy analysis of indoor visible light communication localization system based on received signal strength in non-line-of-sight environments by using least squares method
AU - Shi, Ge
AU - Li, Yong
AU - Cheng, Wei
AU - Dong, Limeng
AU - Yang, Junhua
AU - Zhang, Wenjie
N1 - Publisher Copyright:
© The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - For an indoor localization system based on visible light communication (VLC) by using received signal strength technique, visible light signals used for estimating the distances between each localization target and reference nodes suffer from non-line-of-sight (NLoS) signal propagation, which could introduce large errors in estimating their locations. Both line-of-sight (LoS) link and NLoS link are taken into account in a noisy VLC channel, and thus the NLoS signal and ambient noise are the sources of localization error. Ricean K factor is introduced to evaluate the relation between the value of NLoS signal and the quality of localization in the proposed system. Analytical expressions for the distance measurement error and the upper bound of localization error are derived by using the least squares method. The simulation results show that the estimation of localization error matches the distribution of Ricean K factor in the noisy overall link. The environmental parameters that can be used to decrease the value of Ricean K factor are also discussed in the simulations, which provide the reference of parameters for building an experimental demonstration of a VLC indoor localization system. A comparison is conducted with the previous works to demonstrate the good performance of our scheme.
AB - For an indoor localization system based on visible light communication (VLC) by using received signal strength technique, visible light signals used for estimating the distances between each localization target and reference nodes suffer from non-line-of-sight (NLoS) signal propagation, which could introduce large errors in estimating their locations. Both line-of-sight (LoS) link and NLoS link are taken into account in a noisy VLC channel, and thus the NLoS signal and ambient noise are the sources of localization error. Ricean K factor is introduced to evaluate the relation between the value of NLoS signal and the quality of localization in the proposed system. Analytical expressions for the distance measurement error and the upper bound of localization error are derived by using the least squares method. The simulation results show that the estimation of localization error matches the distribution of Ricean K factor in the noisy overall link. The environmental parameters that can be used to decrease the value of Ricean K factor are also discussed in the simulations, which provide the reference of parameters for building an experimental demonstration of a VLC indoor localization system. A comparison is conducted with the previous works to demonstrate the good performance of our scheme.
KW - least squares method
KW - non-line-of-sight link
KW - receiver signal strength
KW - visible light communication
UR - http://www.scopus.com/inward/record.url?scp=85069538866&partnerID=8YFLogxK
U2 - 10.1117/1.OE.58.5.056102
DO - 10.1117/1.OE.58.5.056102
M3 - 文章
AN - SCOPUS:85069538866
SN - 0091-3286
VL - 58
JO - Optical Engineering
JF - Optical Engineering
IS - 5
M1 - 056102
ER -