Abstract

Non-line of sight (NLOS) visible light communication (VLC) from reflections can expand the application beyond the line-of-sight (LOS) link. We demonstrate the experimental results on such indoor NLOS VLC, up to the second-order reflection. We employ an avalanche photodiode (APD) receiver due to the strong ambient light background. Manchester coding is adopted at the transmitter, and digital filtering is adopted at the receiver. We propose an Support Vector Machine (SVM) detection method to solve the significant distortion issue due to weak signal of the NLOS link. Experimental results on the second-order reflection-based VLC demonstrate that the detection error probability of the proposed SVM detection can be reduced up to at least two orders of magnitude compared with the Gaussian approximation-based detection, and can reach $10^{-4}$ at bit rate 4Mbps. Thus, low-data rate applications can be achieved by VLC with only the second-order reflection, which implies the potential in speech/image/control message transmission and Internet of Things (IoT) applications, for example the mobile robots that may operate in the shadow or even under a table. Experimental results on the second-order reflection at different transmission rates, different sampling rates, different AC signal amplitudes, and different DC voltages of bias-tee are also demonstrated.

Highlights

  • As the number of mobile devices and users is increasing significantly, the demand for high transmission bandwidth is emerging

  • We further study the performance of the proposed Support Vector Machine (SVM) detection for indoor Visible light communication (VLC) after the first-order reflection with bit rate 8 Mbps

  • We study the performance of the proposed SVM detection method and compare it with conventional Gaussian approximation-based detection method for the indoor VLC after the second-order reflection with bit rate 4 Mbps

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Summary

Introduction

As the number of mobile devices and users is increasing significantly, the demand for high transmission bandwidth is emerging. We demonstrate the experimental results on the second-order reflection-based VLC, where the detection error probability of proposed SVM detection can be reduced at least two orders of magnitudes compared with Gaussian approximation-based detection, and reach 10−4 at bit rate 4 Mbps, which can be readily further corrected by a standard error correcting code. Such results demonstrate the feasibility of a reliable NLOS VLC link for low-data rate applications without line-of-sight (LOS) links, for example speech/image/control message/low-resolution video transmission and Internet of Things (IoT) applications, where the position and receiving angle of the receiver can be more flexible to improve the communication mobility.

System Modeling
Signal Processing
Sliding Based Synchronization
Gaussian Approximation-Based Detection With Manchester Coding
Experimental System Realization
Signal Analysis
Grid Search
Conclusions
Full Text
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