Main > Acta Optica Sinica >  Volume 40 >  Issue 18 >  Page 1806003 > Article
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  • Received: May. 8, 2020

    Accepted: Jun. 11, 2020

    Posted: Sep. 1, 2020

    Published Online: Sep. 2, 2020

    The Author Email: Wu Yi (wuyi@fjnu.edu.cn), Wang Xufang (fzwxf@fjnu.edu.cn)

    DOI: 10.3788/AOS202040.1806003

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    Shiwu Xu, Yi Wu, Xufang Wang. Visible Light Positioning Algorithm Based on Sparsity Adaptive and Location Fingerprinting[J]. Acta Optica Sinica, 2020, 40(18): 1806003

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  • Fiber Optics and Optical Communications
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Fingerprint positioning model based on LED communication

Fig. 1. Fingerprint positioning model based on LED communication

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Flow chart of LCSACS algorithm

Fig. 2. Flow chart of LCSACS algorithm

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Cumulative distribution of positioning errors under RSN=10 dB

Fig. 3. Cumulative distribution of positioning errors under RSN=10 dB

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Cumulative distribution of positioning errors under RSN=20 dB

Fig. 4. Cumulative distribution of positioning errors under RSN=20 dB

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Impact of RSN on average positioning error

Fig. 5. Impact of RSN on average positioning error

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Impact of S on average positioning error

Fig. 6. Impact of S on average positioning error

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Impact of B on average positioning error under Ptr=6 W

Fig. 7. Impact of B on average positioning error under Ptr=6 W

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Impact of Ptr on average positioning error under B=100 MHz

Fig. 8. Impact of Ptr on average positioning error under B=100 MHz

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Cumulative distribution of optimal K values

Fig. 9. Cumulative distribution of optimal K values

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Impact of Kmax on average positioning error

Fig. 10. Impact of Kmax on average positioning error

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Impact of M on average positioning error

Fig. 11. Impact of M on average positioning error

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