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A digital self-interference cancellation algorithm based on spectral estimation in co-time co-frequency full duplex system

机译: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

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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.
机译:在同时同频全双工(CCFD)系统中,如果我们单独使用负SIC或射频SIC,则自干扰消除(SIC)的能力将受到限制,因此需要剩余的自干扰信号(SIS)在数字领域将被进一步取消。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,可以对SIS和数字发射信号的频谱进行分析。然后通过信号的二阶循环统计信息重构SIS和自适应抵消。仿真结果表明,所提出的算法性能和收敛性得到了有效提高。

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