Non-line-of-sight optical camera communications based on CPWM and a convolutional neural network

Non-line-of-sight (NLOS) optical camera communications (OCC) exhibit greater link availability and mobility than line-of-sight links, which are more susceptible to blocking and shadowing. In this work, we propose an NLOS OCC system, where the data signal is mapped into color pulse width modulation (CPWM) symbols prior to transmission using a red-, green-, and blue light-emitting diode. A convolutional-neural-network-based receiver is used to demodulate the CPWM signal. Based on experimental results, the proposed scheme effectively mitigates the effects of diffuse reflection induced intersymbol interference, resulting in an increased data transmission rate to 7.2 kbps over a link span of more than 2 m, which is typical for indoor applications. (c) 2023 Optica Publishing Group

Automated summary

Non-line-of-sight (NLOS) optical camera communications (OCC) provide better link availability and mobility compared to line-of-sight links. This study proposes an NLOS OCC system that maps data signals into color pulse width modulation (CPWM) symbols and uses a convolutional neural network for demodulation, effectively reducing intersymbol interference.