Adaptive Analog Self-Interference Cancellation with Internal Channel Detector for In-band Full-Duplex Wireless Communication

Abstract

This thesis is about study on an adaptive analog self-interference cancellation with internal channel detector for in-band Full-Duplex wireless communication. Existing studies show excellent results in a fixed environment, but in a changing wireless communication environment, performance may not be guaranteed as it takes time to reach optimal self-interference cancellation. As a result, they have a possibility that cannot immediately respond to a rapidly changing wireless communication environment. In this paper, we implemented adaptive analog self-interference cancellation in wireless communication environment. This study measures the changing channel environment using internal circuits and continuously reflects the optimal initial values in the system to maintain optimal self-interference cancellation. The effect of least square estimation is verified by comparing systems which applied least square estimation or not. We verified that the system recognizes external environment and react to maintain optimal self-interference cancellation.