Momentum-based ICA for Self Interference Cancellation in In-Band Full-Duplex Systems

Chi Lee, Chung-An Shen, Mohammed E. Fouda, Ahmed Eltawil

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Recently, Independent Component Analysis (ICA) has proven its effectiveness as a self-interference cancellation method for in-band full duplex systems. However, ICA could suffer slow convergence due to the iterative estimation of the independent components which limits its usage in real-time applications. In this paper, we introduce a momentum-based ICA to accelerate convergence via incorporating gradient history. The proposed momentum-based ICA is evaluated and tested on different ICA algorithms including real-valued and complexvalued FastICA and entropy bound minimization based ICA. The results show significant speedup improvement compared to native ICA based on gradient descent approach. The proposed algorithm shows consistent results under different transceiver non-linearity and for different frame lengths.
Original languageEnglish (US)
Title of host publication2022 56th Asilomar Conference on Signals, Systems, and Computers
StatePublished - Mar 7 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-03-10


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