Full-Duplex Self Cancellation Techniques Using Independent Component Analysis

Hsi-Hung Lu, M. Fouda, Chung-An Shen, A. Eltawil
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引用次数: 5

Abstract

Independent component analysis (ICA) has been shown as a promising means for solving the self-interference cancellation (SIC) problem for in-band full duplex systems. This paper presents a detailed analysis of the interference suppression capability and computational complexity of several different ICA algorithms, operating at either real-valued or complex-valued domain. In addition, on the basis of the setup of the full-duplex system, we show that a much simplified complex-valued ICA algorithm that only performs whitening and decorrelation processes are sufficient to separate the signal of interest from the mixed signal. Extensive simulation results are presented in this paper to illustrate the performance and complexity of various ICA approaches applying to the full-duplex system.
使用独立分量分析的全双工自抵消技术
独立分量分析(ICA)是解决带内全双工系统自干扰消除(SIC)问题的一种很有前途的方法。本文详细分析了几种不同的ICA算法在实值域和复值域的干扰抑制能力和计算复杂度。此外,在建立全双工系统的基础上,我们证明了一种简化的复值ICA算法,它只进行白化和去相关处理,足以从混合信号中分离出感兴趣的信号。本文给出了大量的仿真结果,以说明应用于全双工系统的各种ICA方法的性能和复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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