Logo image
A misalignment-insensitive sub-THz data link based on an AI nonlinear equalizer
Conference paper

A misalignment-insensitive sub-THz data link based on an AI nonlinear equalizer

Pouya Torkaman, Govind Sharan Yadav, Xuan-Wei Miao, Po-Cheng Su, Kai-Ming Feng and Shang-Hua Yang
International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz, Vol.2022-August
2022

Abstract

Energy Engineering and Power Technology Electrical and Electronic Engineering
In this study, we demonstrated a simple, low-cost terahertz wireless communication network and investigated the effect of angle misalignment on bit error rate. The results show that the 3 Gbaud 4QAM-OFDM signals can still be retrieved at short distances (<1 m). We pushed even farther, and by utilizing a neural network, we developed an Artificial intelligence-based nonlinear equalizer, which enhances the system's robustness to misalignment.

Metrics

1 Record Views

Details

Logo image