Digital Self-Interference Cancellation Based on Bounded Component Analysis for In-Band Full-Duplex

In-Band Full Duplex (IBFD) technique is expected to be the most potential scheme for modern wireless communication system, since it can prove the spectral efficiency. However, in the application process, it faces the great challenge of Self-Interference Cancellation (SIC). SIC can be realized separately or in combination from three aspects: propagation domain, analog domain and digital domain. This paper focuses on digital SIC in the IBFD. To solve the problem that the performance of the traditional digital SIC is limited by the non-ideality of the components of transceiver link, this paper adopts an IBFD system of Radio Frequency (RF) auxiliary link. By exploiting the boundedness of signal of interest and self-interfering signal, a digital SIC algorithm based on bounded component analysis is developed. Under the two channel scenarios of the Line Of Sight (LOS) and the Non-Line Of Sight (NLOS), the simulation and measured data are used to verify and analyze. The results show that compared with the least square method and independent component analysis method, the proposed bounded component analysis method improves the SIC effect and improves the bit error rate performance of the system.