A Tunable RF Self-Interference Canceller With Highly Accelerated, Machine-Learning-Based Adaptation for Full-Duplex Radio Applications https://sscs.ieee.org/wp-content/themes/movedo/images/empty/thumbnail.jpg 150 150 https://secure.gravatar.com/avatar/8fcdccb598784519a6037b6f80b02dee03caa773fc8d223c13bfce179d70f915?s=96&d=mm&r=g
Abstract:
Future full-duplex (FD) radio systems require highly tunable self-interference (SI) cancellers with rapid adaptation to mitigate dynamic SI profiles in wireless environments. This article presents a 2.4-GHz RF SI canceller chip with extensive tuning capabilities that operates with a machine-learning (ML)-augmented adaptation loop for FD transceivers. The proposed design …