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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107474


    Title: White-LED 3-D Indoor Positioning Using Super-resolution Technique
    Authors: Lee, Kelvin Kuang-Chi;Shih, Fu-Yuen;Chang, Shih-Hao
    Keywords: Light emitting diodes;Multiple signal classification;Decision support systems
    Date: 2016-05-29
    Issue Date: 2016-09-13 02:11:14 (UTC+8)
    Publisher: IEEE
    Abstract: This paper presents a 3-D indoor positioning algorithm using white light-emitting diodes (W-LED) in the presence of additive white Gaussian noise (AWGN). Adopting a uniform linear array (ULA) based photo-detector, the angle of irradiance and incidence of W-LEDs and photo-detector can be estimated by super-resolution techniques. Through Lambertian model, the corresponding distances can also be calculated. By forming geometric circles, 3-D target location can be determined via non-linear optimization of least-square (LS) criterion. To evaluate the efficacy of the proposed algorithm, MATLAB simulation is conducted for a space of 5m × 5m × 3m with three W-LED sources and one photo-detector device. The simulation result showed less than 10cm location inaccuracy which is a 2.5 fold improvement compared to other 3-D indoor positioning schemes recently presented in the literature.
    Relation: 2016 IEEE International Conference on Applied System Innovation (ICASI)
    DOI: 10.1109/ICASI.2016.7539795
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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