Visible Light Communication Based Indoor Positioning System

Tan, Yong Pin (2020) Visible Light Communication Based Indoor Positioning System. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

As Global Positioning System (GPS) cannot provide good performance in an indoor environment, indoor positioning techniques which utilize indoor wireless signals such as WiFi, Bluetooth, and Visible Light became an alternative solution for Indoor Positioning System (IPS). Meanwhile, Visible Light Communication (VLC) which utilized the Light Emitting Diodes (LEDs) to transmit data has been deemed to be a promising technology for IPS. In this research, a proposed VLC-IPS will be simulated which build up by four LED transmitters and a photodiode receiver. Each of the LED will be modulated with Frequency Division Multiplexing (FDM) which an unique frequency (F-ID) was assigned to each of the LEDs. Photodiode will act as a receiver that will retrieve the information from the signal transmitted by the LEDs. Fast Fourier Transform (FFT) is used to extract the signal and retrieve the signal amplitude needed for calculation. Receive Signal Strength (RSS) is used to estimate the distance between the transmitter and receiver. The distance estimated will then be processed by applying a adaptive trilateration algorithm to estimate the coordinate of the receiver. The simulation was conducted for both ideal and noisy environment. In noisy environment, interferences such as Gaussian Noise and fluorescent light were included. The performance of the proposed VLC-IPS was evaluated with the average positioning error plot and Signal to Noise Ratio (SNR). The results of the proposed VLC-IPS show that the performance this simulation was better than the state-of-art system.