论文标题
ICA在从带内完全双层系统的自我干扰取消中的应用
Application of ICA on Self-Interference Cancellation of In-band Full Duplex Systems
论文作者
论文摘要
在这封信中，我们提出了一个经过修改的快速独立组件分析（FICA）算法，以解决波段中完整双工（IBFD）通信系统中的自我干扰取消（SIC）问题。复杂的混合问题是在数学上制定的，以适合实现的盲源分离（BSS）算法。此外，我们提出了一种估计与通道和残留分离误差一起估算与ICA相关的歧义因素的方法。实验是在FD平台上进行的，在该平台中，将基于FICA的BSS用于频域中的SIC。实验结果表明，与最小二乘SIC相比，SNR中最多6 dB的增益。
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.
