Chinese Journal of Lasers, Volume. 49, Issue 21, 2106001(2022)
Indoor Visible Light Localization System Based on Genetic Algorithm-Optimized Extreme Learning Machine Neural Network
[1] Tan H C, Zhao W H, Qiu Q et al. Green synthesis of nitrogen-doped fluorescent carbon quantum dots for selective detection of iron[J]. Fullerenes, Nanotubes and Carbon Nanostructures, 25, 417-422(2017).
[2] Akiyama T, Sugimoto M, Hashizume H. Time-of-arrival-based smartphone localization using visible light communication[C](2017).
[3] Chen Z, Wang J L. GROF: indoor localization using a multiple-bandwidth general regression neural network and outlier filter[J]. Sensors, 18, 3723(2018).
[4] Ma Y W, Chen J L, Chen Z Z. A high accuracy and efficiency indoor positioning system with visible light communication[J]. Transactions on Emerging Telecommunications Technologies, 30, e3452(2019).
[5] Mousa F I K, Almaadeed N, Busawon K et al. Indoor visible light communication localization system utilizing received signal strength indication technique and trilateration method[J]. Optical Engineering, 57, 016107(2018).
[6] Qin L, Niu B, Li B S et al. Indoor visible light high precision three-dimensional positioning algorithm based on single LED lamp[J]. Optik, 207, 163786(2020).
[7] Lain J K, Chen L C, Lin S C. Indoor localization using K-pairwise light emitting diode image-sensor-based visible light positioning[J]. IEEE Photonics Journal, 10, 18278575(2018).
[8] Cai Y, Guan W P, Wu Y X et al. Indoor high precision three-dimensional positioning system based on visible light communication using particle swarm optimization[J]. IEEE Photonics Journal, 9, 17363649(2017).
[9] Almadani Y, Ijaz M, Adebisi B et al. An experimental evaluation of a 3D visible light positioning system in an industrial environment with receiver tilt and multipath reflections[J]. Optics Communications, 483, 126654(2021).
[10] Guo X S, Shao S H, Ansari N et al. Indoor localization using visible light via fusion of multiple classifiers[J]. IEEE Photonics Journal, 9, 7803716(2017).
[11] Xu S W, Wu Y, Wang X F. Visible light positioning algorithm based on sparsity adaptive and location fingerprinting[J]. Acta Optica Sinica, 40, 1806003(2020).
[12] Huang G B, Zhou H M, Ding X J et al. Extreme learning machine for regression and multiclass classification[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 42, 513-529(2012).
[13] Chen Y, Wu J, Liu H L et al. Visible light and inertial navigation fusion indoor positioning system based on hidden Markov model[J]. Chinese Journal of Lasers, 47, 1206001(2020).
[14] Amsters R, Holm D, Joly J et al. Visible light positioning using Bayesian filters[J]. Journal of Lightwave Technology, 38, 5925-5936(2020).
[15] Zhang H Y, Yu H Y, Chen L L. Indoor visible light location using adaptive pollination receiving signal strength indication based on reverse learning strategy[J]. Chinese Journal of Lasers, 48, 0106001(2021).
[16] Shi C Q, Niu X, Li T et al. Exploring fast fingerprint construction algorithm for unmodulated visible light indoor localization[J]. Sensors, 20, 7245(2020).
[17] Bakar A H A, Glass T, Tee H Y et al. Accurate visible light positioning using multiple-photodiode receiver and machine learning[J]. IEEE Transactions on Instrumentation and Measurement, 70, 7500812(2021).
[18] Huang L, Gan X L, Yu B G et al. An innovative fingerprint location algorithm for indoor positioning based on array pseudolite[J]. Sensors, 19, 4420(2019).
[19] Mao W C, Xie H Y, Tan Z Q et al. High precision indoor positioning method based on visible light communication using improved Camshift tracking algorithm[J]. Optics Communications, 468, 125599(2020).
[20] Amsters R, Demeester E, Stevens N et al. In-depth analysis of unmodulated visible light positioning using the iterated extended Kalman filter[J]. Sensors, 19, 5198(2019).
[21] Liu K H, Yan S D, Gong X L. Indoor 3D visible light positioning algorithm based on fingerprint reconstruction and sparse training nodes[J]. Chinese Journal of Lasers, 48, 0306003(2021).
[22] Xu Y, Wang X X. Indoor positioning algorithm of subregional visible light based on multilayer ELM[J]. Journal of Hunan University (Natural Sciences), 46, 125-132(2019).
Get Citation
Copy Citation Text
Ling Qin, Dongxing Wang, Mingquan Shi, Fengying Wang, Xiaoli Hu. Indoor Visible Light Localization System Based on Genetic Algorithm-Optimized Extreme Learning Machine Neural Network[J]. Chinese Journal of Lasers, 2022, 49(21): 2106001
Category: Fiber optics and optical communication
Received: Dec. 17, 2021
Accepted: Feb. 22, 2022
Published Online: Nov. 9, 2022
The Author Email: Hu Xiaoli (huxiaoli@imust.edu.cn)