臺灣博碩士論文加值系統

LED條帶照明可以以低成本、單個變壓器控制，來提供高質量均勻的無陰影漫射照明。因為有機LED具有皮秒熒光壽命，而且無發射紫外線的優點，所以不需要使用濾光片，即可使用整個可見光譜於可見光通信。我們引入實際量測的固體LED條帶照明的參數和有機熒光的熒光壽命，作為蒙特卡羅的光追迹模擬的輸入，以估計可用於室內通信的潛在頻寬。我們的成果顯示在5公尺×5公尺×3公尺的標準房間中，原始數據傳輸速率可達4至10 Mbps ，可以應用於想對應速度的物聯網（IoT）裝置。

LED strip lighting can provide high quality uniform shadow-free diffuse lighting at low cost as numerous emission sources are controlled by a single transformer. Organic LEDs offer the additional advantages of UV free emission and, for visible light communication, picosecond fluorescent lifetimes allowing the whole visible spectrum to be used without filters. Using parameters determined experimentally for solid-state LED strip lighting and fluorescent lifetimes typical of organic phosphors as the input for a Monte Carlo based ray-tracing simulation, we evaluate the potential bandwidths obtainable for indoor communication. Our work suggests that raw data transfer rates of 4 to 10 Mbps are obtainable in a standard 5m by 5m by 3m room compatible with Internet of Things (IoT) applications.

Table of Contents
Abstract.............................................................................................................i
Acknowledgment.........................................................................................iii
Table of Contents.........................................................................................iv
List of Figures..................................................................................................vi
List of Tables.................................................................................................viii
1 Introduction ---1
1.1 Need for VLC ---1
1.2 Lighting Configurations ---4
1.2.1 Single Central source ---4
1.2.2 Diffused, indirect lighting ---4
1.2.3 Strip Lighting Advantages ---5
1.3 Organic LEDs’ ---6
1.4 Prior work on VLC ---7
2 Experiment ---8
2.1 Room Layout ---8
2.2 Equipment ---11
2.3 Method ---11
2.4 Measured Results ---12
3 Simulation ---15
3.1 Room and Lighting Layout ---15
3.2 UML flow chart for simulation ---20
3.3 Simulation Parameters ---23
3.4 Key Equations and cosine sample space ---24
3.4.1 Generating cos distribution sample space ---24
3.4.2 Vector translation from one plane to another ---25
3.5 Key Assumptions ---27
4 Results ---28
4.1 Irradiance(Flux) distribution ---28
4.2 Root mean square delay spread (RMS delay spread) ---33
4.3 Bandwidth ---42
5 Discussion ---45
6 Conclusion ---47
7 References ---48
8 Appendix A - User Guide with Sample Output ---51
8.1 Java Simulation ---51
8.2 Set-up ---51
8.3 Test Run ---52
8.4 Referenced libraries ---52
8.5 Entering of Information for Ray Tracing Simulation ---53
8.6 Processing of Ray Tracing results ---55
8.6.1 Installing python ---55
8.6.2 Running python post processing script ---55

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