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钛媒体：引领未来商业与生活新知
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eess.SP updates on arXiv.org

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Application of ICA on Self-Interference Cancellation of In-band Full Duplex Systems
Mohammed E. Fouda, Sergey Shaboyan, Ayman Elezabi, Ahmed Eltawil · 2020-01-04 · via eess.SP updates on arXiv.org

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.

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