  In this letter, we propose a modified version of Fast Independent Component
Analysis (FICA) algorithm to solve the self-interference cancellation (SIC)
problem in In-band Full Duplex (IBFD) communication systems. The complex mixing
problem is mathematically formulated to suit the real-valued blind source
separation (BSS) algorithms. In addition, we propose a method to estimate the
ambiguity factors associated with ICA lumped together with the channels and
residual separation error. Experiments were performed on an FD platform where
FICA-based BSS was applied for SIC in the frequency domain. Experimental
results show superior performance compared to least squares SIC by up to 6 dB
gain in the SNR.
