Citation: | Li ZHAO, Yi REN, Qi WANG, et al., “Visible Light Indoor Positioning System Based on Pisarenko Harmonic Decomposition and Neural Network,” Chinese Journal of Electronics, vol. 33, no. 1, pp. 195–203, 2024 doi: 10.23919/cje.2022.00.161 |
[1] |
Y. Tao and L. Zhao, “A novel system for WiFi radio map automatic adaptation and indoor positioning,” IEEE Transactions on Vehicular Technology, vol. 67, no. 11, pp. 10683–10692, 2018. doi: 10.1109/TVT.2018.2867065
|
[2] |
C. C. Yang and H. R. Shao, “WiFi-based indoor positioning,” IEEE Communications Magazine, vol. 53, no. 3, pp. 150–157, 2015. doi: 10.1109/MCOM.2015.7060497
|
[3] |
T. Komine and M. Nakagawa, “Fundamental analysis for visible-light communication system using LED lights,” IEEE Transactions on Consumer Electronics, vol. 50, no. 1, pp. 100–107, 2004. doi: 10.1109/TCE.2004.1277847
|
[4] |
J. B. Fang, Z. Yang, S. Long, et al., “High-speed indoor navigation system based on visible light and mobile phone,” IEEE Photonics Journal, vol. 9, no. 2, article no. 8200711, 2017. doi: 10.1109/JPHOT.2017.2687947
|
[5] |
M. T. Van, N. Van Tuan, T. T. Son, et al., “Weighted k-nearest neighbour model for indoor VLC positioning,” IET Communications, vol. 11, no. 6, pp. 864–871, 2017. doi: 10.1049/iet-com.2016.0961
|
[6] |
K. Wang, A. Nirmalathas, C. Lim, et al., “Indoor infrared optical wireless localization system with background light power estimation capability,” Optics Express, vol. 25, no. 19, pp. 22923–22931, 2017. doi: 10.1364/OE.25.022923
|
[7] |
G. Chen, W. K. Chen, Q. Y. Yang, et al., “A novel visible light positioning system with event-based neuromorphic vision sensor,” IEEE Sensors Journal, vol. 20, no. 17, pp. 10211–10219, 2020. doi: 10.1109/JSEN.2020.2990752
|
[8] |
I. M. Abou-Shehada, A. F. AlMuallim, A. K. AlFaqeh, et al., “Accurate indoor visible light positioning using a modified pathloss model with sparse fingerprints,” Journal of Lightwave Technology, vol. 39, no. 20, pp. 6487–6497, 2021. doi: 10.1109/JLT.2021.3098005
|
[9] |
H. L. Yang, W. D. Zhong, C. Chen, et al., “Coordinated resource allocation-based integrated visible light communication and positioning systems for indoor IoT,” IEEE Transactions on Wireless Communications, vol. 19, no. 7, pp. 4671–4684, 2020. doi: 10.1109/TWC.2020.2986109
|
[10] |
S. H. Yang, H. S. Kim, Y. H. Son, et al., “Three-dimensional visible light indoor localization using AOA and RSS with multiple optical receivers,” Journal of Lightwave Technology, vol. 32, no. 14, pp. 2480–2485, 2014. doi: 10.1109/JLT.2014.2327623
|
[11] |
N. Knudde, W. Raes, J. De Bruycker, et al., “Data-efficient Gaussian process regression for accurate visible light positioning,” IEEE Communications Letters, vol. 24, no. 8, pp. 1705–1709, 2020. doi: 10.1109/LCOMM.2020.2990950
|
[12] |
S. Y. Jung, S. Hann, and C. S. Park, “TDOA-based optical wireless indoor localization using LED ceiling lamps,” IEEE Transactions on Consumer Electronics, vol. 57, no. 4, pp. 1592–1597, 2011. doi: 10.1109/TCE.2011.6131130
|
[13] |
K. Majeed and S. Hranilovic, “Performance bounds on passive indoor positioning using visible light,” Journal of Lightwave Technology, vol. 38, no. 8, pp. 2190–2200, 2020. doi: 10.1109/JLT.2020.2966365
|
[14] |
R. Amsters, D. Holm, J. Joly, et al., “Visible light positioning using Bayesian filters,” Journal of Lightwave Technology, vol. 38, no. 21, pp. 5925–5936, 2020. doi: 10.1109/JLT.2020.3006618
|
[15] |
L. Zhao, Z. G. Liu, and D. Wang, “Research on multi-point calibration linear approximation indoor positioning algorithm based on LED array,” in Proceedings of 2018 5th International Conference on Systems and Informatics, Nanjing, China, pp. 751–756, 2018.
|
[16] |
W. P. Guan, Y. X. Wu, S. S. Wen, et al., “Indoor positioning technology of visible light communication based on CDMA modulation,” Acta Optica Sinica, vol. 36, no. 11, article no. 11060061, 2016. (in Chinese) doi: 10.3788/AOS201636.1106006
|
[17] |
H. S. Kim, D. R. Kin, S. H. Yang, et al., “An indoor visible light communication positioning system using a RF carrier allocation technique,” Journal of Lightwave Technology, vol. 31, no. 1, pp. 134–144, 2013. doi: 10.1109/JLT.2012.2225826
|
[18] |
L. Bai, Y. Yang, C. Y. Feng, et al., “Received signal strength assisted perspective-three-point algorithm for indoor visible light positioning,” Optics Express, vol. 28, no. 19, pp. 28045–28059, 2020. doi: 10.1364/OE.400992
|
[19] |
X. S. Guo, S. H. Shao, N. Ansari, et al., “Indoor localization using visible light via fusion of multiple classifiers,” IEEE Photonics Journal, vol. 9, no. 6, pp. 1–16, 2017. doi: 10.1109/jphot.2017.2767576
|
[20] |
L. Bai, Y. Yang, Z. T. Zhang, et al., “A high-coverage camera assisted received signal strength ratio algorithm for indoor visible light positioning,” IEEE Transactions on Wireless Communications, vol. 20, no. 9, pp. 5730–5743, 2021. doi: 10.1109/TWC.2021.3069722
|
[21] |
G. Seco-Granados, J. López-Salcedo, D. Jiménez-Baños, et al., “Challenges in indoor global navigation satellite systems: unveiling its core features in signal processing,” IEEE Signal Processing Magazine, vol. 29, no. 2, pp. 108–131, 2012. doi: 10.1109/MSP.2011.943410
|
[22] |
Y. C. Wu, C. W. Chow, Y. Liu, et al., “Received-signal-strength (RSS) based 3D visible-light-positioning (VLP) system using kernel ridge regression machine learning algorithm with sigmoid function data preprocessing method,” IEEE Access, vol. 8, pp. 214269–214281, 2020. doi: 10.1109/ACCESS.2020.3041192
|
[23] |
W. J. Gu, M. Aminikashani, P. Deng, et al., “Impact of multipath reflections on the performance of indoor visible light positioning systems,” Journal of Lightwave Technology, vol. 34, no. 10, pp. 2578–2587, 2016. doi: 10.1109/JLT.2016.2541659
|
[24] |
F. Alam, M. T. Chew, T. Wenge, et al., “An accurate visible light positioning system using regenerated fingerprint database based on calibrated propagation model,” IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 8, pp. 2714–2723, 2019. doi: 10.1109/TIM.2018.2870263
|
[25] |
C. W. Chow, Y. Liu, C. H. Yeh, et al., “A practical in-home illumination consideration to reduce data rate fluctuation in visible light communication,” IEEE Wireless Communications, vol. 22, no. 2, pp. 17–23, 2015. doi: 10.1109/MWC.2015.7096280
|
[26] |
Z. H. Yang, W. Xu, and Y. R. Li, “Fair non-orthogonal multiple access for visible light communication downlinks,” IEEE Wireless Communications Letters, vol. 6, no. 1, pp. 66–69, 2017. doi: 10.1109/lwc.2016.2631471
|
[27] |
A. B. M. M. Rahman, T. Li, and Y. Wang, “Recent advances in indoor localization via visible lights: a survey,” Sensors, vol. 20, no. 5, article no. 1382, 2020. doi: 10.3390/s20051382
|
[28] |
H. Burchardt, N. Serafimovski, D. Tsonev, et al., “VLC: Beyond point-to-point communication,” IEEE Communications Magazine, vol. 52, no. 7, pp. 98–105, 2014. doi: 10.1109/MCOM.2014.6852089
|
[29] |
Y. Yang, Z. M. Zeng, J. L. Cheng, et al., “A relay-assisted OFDM system for VLC uplink transmission,” IEEE Transactions on Communications, vol. 67, no. 9, pp. 6268–6281, 2019. doi: 10.1109/TCOMM.2019.2923237
|
[30] |
W. Xu, J. Wang, H. Shen, et al., “Indoor positioning for multiphotodiode device using visible-light communications,” IEEE Photonics Journal, vol. 8, no. 1, article no. 7900511, 2016. doi: 10.1109/jphot.2015.2513198
|
[31] |
H. Q. Zhang, J. H. Cui, L. H. Feng, et al., “High-precision indoor visible light positioning using deep neural network based on the Bayesian Regularization with sparse training point,” IEEE Photonics Journal, vol. 11, no. 3, article no. 7903310, 2019. doi: 10.1109/jphot.2019.2912156
|