Self-powered signal processing system for visible light communication based on solar panels
Sun Qigong, Chen Xiongbin, Chengyu Min, Xurui Mao, Pan Tianhao · Optical Engineering · 2020
We propose a self-powered signal processing system that can transfer a single byte of data without needing any external power supply. The proposed system uses a local extreme point reconstruction algorithm for reconstructing the waveform. In addition, we use Manchester coding in the proposed method for reducing the byte error rate. The experimental results show that the self-powered processor needs 3 mW generated from the solar panel to maintain 1 MSa / s and 8-bit sample depth when the visible light communication link distance is fixed as 30 cm. The maximum bit rate is 500 kbit / s and the corresponding byte error rate is 6 × 10 − 2.