Literature Database Entry

pan2025indoor

Meiqi Pan, "Indoor Positioning with LiFi Using the Fine-Time Measurement Protocol in 802.11," Master's Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), July 2025. (Advisor: Volker Jungnickel; Referees: Falko Dressler and Volker Jungnickel)

Abstract

With the fast development of indoor positioning, a growing number of distance estimation techniques have rapidly emerged. However, conventional wireless positioning systems such as GPS or Wi-Fi technology often fall short of delivering centimeter-level accuracy, and they face the challenge of signal attenuation through obstacles. In order to overcome these limitations, this thesis has developed a hybrid wireless communication system that integrates Wi-Fi and Li-Fi technologies, advanced by a super-resolution algorithm to reach centimeter-level distance ranging accuracy. The whole system is based on the Wi-Fi 6 standard, with the traditional radio frequency (RF) channel replaced by an optical channel. The distance between a transmitter and a receiver was computed by a fine time measurement (FTM) algorithm, while a super-resolution algorithm is employed to refine time delay estimation so that higher accuracy can be achieved. The MATLAB-based simulation examined various parameters to investigate their influences on the ranging accuracy, such as signal to noise ratio (SNR), low-pass filter cutoff frequency, signal amplitude, spatial resolution, and channel index. Finally, a real-world experimental setup was implemented in a laboratory environment to evaluate the practical feasibility of the proposed approach. Meanwhile, the results have been investigated under the G. hn standard, as well. The results showed that a super-resolution algorithm can provide centimeter-level accuracy in distance ranging and work better in a G.hn environment.

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Meiqi Pan

BibTeX reference

@phdthesis{pan2025indoor,
    author = {Pan, Meiqi},
    title = {{Indoor Positioning with LiFi Using the Fine-Time Measurement Protocol in 802.11}},
    advisor = {Jungnickel, Volker},
    institution = {School of Electrical Engineering and Computer Science (EECS)},
    location = {Berlin, Germany},
    month = {7},
    referee = {Dressler, Falko and Jungnickel, Volker},
    school = {TU Berlin (TUB)},
    type = {Master's Thesis},
    year = {2025},
   }
   
   

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Last modified: 2026-04-21