同时同频全双工系统中基于频谱估计的数字自干扰消除算法

Yujie Li, Lingyun Sun, Caidan Zhao, Lianfeng Huang
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引用次数: 7

摘要

在同时同频全双工(CCFD)系统中,如果单独使用负SIC或射频SIC,则自干扰抵消(SIC)的能力有限,因此需要在数字域进一步消除剩余的自干扰信号(SIS)。本文提出了一种基于频谱估计的数字自干扰消除算法,通过建立频谱估计SIS模型,对SIS和数字传输信号的频谱进行分析。然后利用信号的二阶循环统计信息重构SIS和自适应消去。仿真结果表明,该算法的性能和收敛性得到了有效提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A digital self-interference cancellation algorithm based on spectral estimation in co-time co-frequency full duplex system
In a Co-time Co-frequency Full-duplex (CCFD) system, the ability of Self-interference Cancellation (SIC) is limited if we use negative SIC or radio frequency SIC alone, so the residual Self-Interference Signal (SIS) needs to be further cancelled in digital domain. This paper proposed a digital Self-interference Cancellation algorithm based on spectral estimation, via establishing spectral estimation SIS model, we can analyze the spectrum of the SIS and digital transmitted signal. Then reconstruct the SIS and self-adaption cancellation via the second-order cyclic statistic information of signals. The simulation result shows that the proposed algorithm performance and convergence can effectively improved.
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