Research on Adaptive Self-Interference Cancellation and Sensing Methods in ISAC System

With the emergence of the sixth generation of mobile communication systems, research on applications such as holographic communication, the Internet of Things, tactile and visual interconnection has gained increasing attention. In response to the difficulties created by advancements in technology and the limited availability of spectrum resources, Integrated Sensing and Communication (ISAC) technology has been introduced. However, in many ISAC monostatic scenarios, the focus has primarily been on the precise extraction of perceptual information from reflected signals to achieve simplicity, without considering the interference issues between reflected signals and transmitted signals. In this paper, we analyze the model of self-interference (SI) channels in ISAC monostatic scenarios. Subsequently, we propose a SI cancellation method based on an adaptive filter and derive two methods for sensing range and velocity information from Orthogonal Frequency Division Multiplexing (OFDM) reflected signals. Our results illustrate that the implemented SI cancellation methodology offers marked SI curtailing, with the potential to realize suppression efforts of tens of decibels. Additionally, both sensing methods demonstrate high perceptual accuracy.