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) |
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Pages (from-to) | 1-1 |
Number of pages | 1 |
Journal | IEEE Wireless Communications Letters |
Volume | 9 |
Issue number | 7 |
DOIs | |
State | Published - 2020 |
Bibliographical note
KAUST Repository Item: Exported on 2021-12-14ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Physics and Astronomy (miscellaneous)