Application of ICA on Self-Interference Cancellation of In-band Full Duplex Systems

Mohammed E. Fouda, Sergey Shaboyan, Ayman Elezabi, Ahmed Eltawil

    Research output: Contribution to journalArticlepeer-review

    14 Scopus citations


    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.
    Original languageEnglish (US)
    Pages (from-to)1-1
    Number of pages1
    JournalIEEE Wireless Communications Letters
    Issue number7
    StatePublished - 2020

    Bibliographical note

    KAUST Repository Item: Exported on 2021-12-14

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Electrical and Electronic Engineering
    • Physics and Astronomy (miscellaneous)


    Dive into the research topics of 'Application of ICA on Self-Interference Cancellation of In-band Full Duplex Systems'. Together they form a unique fingerprint.

    Cite this