Application of ICA on Self-Interference Cancellation of In-Band Full Duplex Systems
Application of ICA on Self-Interference Cancellation of In-Band Full Duplex Systems
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DOI：
10.1109/lwc.2020.2973637
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发表时间：
2020-01
影响因子：
6.3
通讯作者：
M. Fouda;S. Shaboyan;A. Elezabi;Ahmed M. Eltawil
中科院分区：
文献类型：
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作者：
M. Fouda;S. Shaboyan;A. Elezabi;Ahmed M. Eltawil
在这封信中，我们提出了快速独立分量分析（FICA）算法的修改版本，以解决带内全双工（IBFD）通信系统中的自干扰消除（SIC）问题。复杂的混合问题经过数学公式化以适应实值盲源分离（BSS）算法。此外，我们提出了一种方法来估计与 ICA 相关的模糊因素以及通道和残余分离误差。实验在 FD 平台上进行，其中基于 FICA 的 BSS 应用于频域的 SIC。实验结果表明，与最小二乘 SIC 相比，其 SNR 增益高达 6 dB，具有卓越的性能。
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.