Acta Optica Sinica, Volume. 42, Issue 5, 0506002(2022)

Research on Visible Light Indoor Localization Algorithm Based on Elman Neural Network

Ling Qin, Chongtai Zhang, Ying Guo, Yanhong Xu, Fengying Wang, and Xiaoli Hu*
Author Affiliations
  • School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
  • show less
    References(19)

    [1] Yuan C L, Lu H M, Huang J C et al. Energy self-sustaining visible light positioning algorithm based on clustering[J]. Acta Optica Sinica, 41, 1006001(2021).

    [2] Zhao C H, Zhang H M, Song J. Fingerprint based visible light indoor localization method[J]. Chinese Journal of Lasers, 45, 0806002(2018).

    [3] Cao Y, Dang Y C, Peng X F et al. Indoor visible light localization method using TOA/RSS hybrid information[J]. Chinese Journal of Lasers, 48, 0100001(2021).

    [4] Dong W J, Wang X D, Wu N. A hybrid RSS/AOA algorithm for indoor visible light positioning[J]. Laser & Optoelectronics Progress, 55, 050603(2018).

    [5] Yang Z C, Wang Z Y, Zhang J S et al. Polarization-based visible light positioning[J]. IEEE Transactions on Mobile Computing, 18, 715-727(2019).

    [6] 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).

    [7] Wang W G, Zhang Y W, Tian L B. TOA-based NLOS error mitigation algorithm for 3D indoor localization[J]. China Communications, 17, 63-72(2020).

    [8] Liu C F, Yang J, Wang F S. Joint TDOA and AOA location algorithm[J]. Journal of Systems Engineering and Electronics, 24, 183-188(2013).

    [9] Li S P, Yang X Y, Zhao R et al. An indoor positioning method based on RSSI probability distribution[J]. IOP Conference Series: Materials Science and Engineering, 490, 042054(2019).

    [10] Gao L, Yang X M. An improved trilateration positioning algorithm[J]. Industry and Mine Automation, 46, 78-81(2020).

    [11] Xie C Y, Guan W P, Wu Y X et al. The LED-ID detection and recognition method based on visible light positioning using proximity method[J]. IEEE Photonics Journal, 10, 1-16(2018).

    [12] Wang Y F, Gao J X, Li Z K et al. Robust and accurate Wi-Fi fingerprint location recognition method based on deep neural network[J]. Applied Sciences, 10, 321(2020).

    [13] 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).

    [14] Tran H, Ha C. Improved visible light-based indoor positioning system using machine learning classification and regression[J]. Applied Sciences, 9, 1048(2019).

    [15] Raes W, Knudde N, De Bruycker J et al. Experimental evaluation of machine learning methods for robust received signal strength-based visible light positioning[J]. Sensors, 20, 6109(2020).

    [16] Şahin A. Ero lu Y S, Güvenç i, et al. Hybrid 3-D localization for visible light communication systems[J]. Journal of Lightwave Technology, 33, 4589-4599(2015).

    [17] 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).

    [18] Xiao J L, Yue D W, Zhao Z D et al. A visible light localization algorithm based on BP neural network optimized by genetic algorithm[J]. Journal of Optoelectronics·Laser, 30, 810-816(2019).

    [19] Wang Z, Zhu Y Y, Zhang Z C. Indoor visible light location system based on BP neural network[J]. Science & Technology Information, 19, 81-84(2021).

    Tools

    Get Citation

    Copy Citation Text

    Ling Qin, Chongtai Zhang, Ying Guo, Yanhong Xu, Fengying Wang, Xiaoli Hu. Research on Visible Light Indoor Localization Algorithm Based on Elman Neural Network[J]. Acta Optica Sinica, 2022, 42(5): 0506002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jul. 19, 2021

    Accepted: Sep. 10, 2021

    Published Online: Mar. 8, 2022

    The Author Email: Hu Xiaoli (huxiaoli@imust.edu.cn)

    DOI:10.3788/AOS202242.0506002

    Topics