同频同时全双工是第5代(5G)通信关键技术之一,数字自干扰抵消算法是其重要研究方向。针对非线性数字自干扰抵消算法中,失真系数估计受到自干扰信道估计误差的影响这一问题,该文提出一种基于辅助符号的非线性自干扰抵消算法,通过对辅助...同频同时全双工是第5代(5G)通信关键技术之一,数字自干扰抵消算法是其重要研究方向。针对非线性数字自干扰抵消算法中,失真系数估计受到自干扰信道估计误差的影响这一问题,该文提出一种基于辅助符号的非线性自干扰抵消算法,通过对辅助符号做自干扰抵消,将信道估计符号的失真误差映射到其抵消结果中并提取出来,从中估计失真系数。接着针对算法开销问题提出一种简化实现方案。仿真结果显示,接收自干扰信号为-5 d Bm时,算法可将自干扰非线性失真分量抵消至约-100 d Bm,且性能随接收自干扰功率降低而提高。展开更多
In this paper,a general scheme in digital self-interference cancellation at baseband for zero-IF full-duplex transceivers is presented. We model the self-interference signals specifically with only the nonlinear disto...In this paper,a general scheme in digital self-interference cancellation at baseband for zero-IF full-duplex transceivers is presented. We model the self-interference signals specifically with only the nonlinear distortion signals falling in receiving band considered. A joint estimation algorithm is proposed for compensating the time delay and frequency offset taking into account the IQ amplitude and phase imbalances from mixers. The memory effect and nonlinear distortion are adaptively estimated by the de-correlated normalized least mean square(DNLMS) algorithm. Numerical simulation results demonstrate that the proposed self-interference cancellation scheme can efficiently compensate the self-interference and outperform the existing traditional solutions.展开更多
文摘同频同时全双工是第5代(5G)通信关键技术之一,数字自干扰抵消算法是其重要研究方向。针对非线性数字自干扰抵消算法中,失真系数估计受到自干扰信道估计误差的影响这一问题,该文提出一种基于辅助符号的非线性自干扰抵消算法,通过对辅助符号做自干扰抵消,将信道估计符号的失真误差映射到其抵消结果中并提取出来,从中估计失真系数。接着针对算法开销问题提出一种简化实现方案。仿真结果显示,接收自干扰信号为-5 d Bm时,算法可将自干扰非线性失真分量抵消至约-100 d Bm,且性能随接收自干扰功率降低而提高。
基金supported in part by the National Natural Science Foundation of China(No.61601027)
文摘In this paper,a general scheme in digital self-interference cancellation at baseband for zero-IF full-duplex transceivers is presented. We model the self-interference signals specifically with only the nonlinear distortion signals falling in receiving band considered. A joint estimation algorithm is proposed for compensating the time delay and frequency offset taking into account the IQ amplitude and phase imbalances from mixers. The memory effect and nonlinear distortion are adaptively estimated by the de-correlated normalized least mean square(DNLMS) algorithm. Numerical simulation results demonstrate that the proposed self-interference cancellation scheme can efficiently compensate the self-interference and outperform the existing traditional solutions.
