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

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

doi:10.1109/lwc.2020.2973637

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 journal › Article › peer-review

15 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	1-1
Number of pages	1
Journal	IEEE Wireless Communications Letters
Volume	9
Issue number	7
DOIs	https://doi.org/10.1109/lwc.2020.2973637
State	Published - 2020

ASJC Scopus subject areas

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

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title = "Application of ICA on Self-Interference Cancellation of In-band Full Duplex Systems",

abstract = "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.",

author = "Fouda, {Mohammed E.} and Sergey Shaboyan and Ayman Elezabi and Ahmed Eltawil",

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T1 - Application of ICA on Self-Interference Cancellation of In-band Full Duplex Systems

AU - Fouda, Mohammed E.

AU - Shaboyan, Sergey

AU - Elezabi, Ayman

AU - Eltawil, Ahmed

N1 - KAUST Repository Item: Exported on 2021-12-14

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/667064

UR - https://ieeexplore.ieee.org/document/8998392/

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DO - 10.1109/lwc.2020.2973637

M3 - Article

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VL - 9

SP - 1

EP - 1

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 7

ER -

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

Abstract

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