基于改进变步长LMS算法的数字域自干扰消除

Jianjun Chu, Yanqun Tang, Yu Zhou
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摘要

同时同频全双工(CCFD)技术作为6G的关键技术之一,可以更有效地利用无线电系统的频谱和硬件资源。然而,该技术最大的挑战是如何消除发射器和接收器之间的自干扰(SI)。提出了一种步长参数随时间逐渐减小的时变最小均方(LMS)数字域自干扰消除(SIC)算法。改进的变步长LMS (M-VSLMS)算法在步长因子与误差信号之间建立了一种新的非线性函数关系,并利用误差信号的自相关时间均值控制需要更新的步长因子。仿真结果表明,该算法提高了干扰抵消比(ICR),加快了收敛速度,提高了信道跟踪和抗干扰能力。与传统的变步长LMS算法相比,该算法将数字域ICR提高了2 dB以上,收敛速度提高了2倍以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Domain Self-Interference Cancellation Based on Modified Variable Step-Size LMS Algorithm
As one of the key technologies of 6G, co-time co-frequency full duplex (CCFD) technology can more effectively utilize the spectrum and hardware resources of the radio system. However, the biggest challenge of this technology is how to cancel out the self-interference (SI) between the transmitter and receiver. In this paper, a time-varying least mean square (LMS) digital domain self-interference cancellation (SIC) algorithm with step-size parameters gradually decreasing with time is proposed. Our modified variable step-size LMS (M-VSLMS) algorithm establishes a new nonlinear function relationship between the step-size factor and the error signal, and controls the step-size factor to be updated by using the autocorrelation time mean of the error signal. The simulation results show that the proposed algorithm enhances the interference cancellation ratio (ICR), speeds up the convergence rate, and improves the abilities of channel tracking and anti-interference. Compared with the traditional variable step-size LMS algorithm, it improves the digital domain ICR by more than 2 dB and the convergence speed is increased by more than twice.
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