基于辅助符号的非线性自干扰抵消算法及其简化实现

发布时间：2018-06-12 15:22

本文选题：G + 同频同时全双工　；参考：《电子与信息学报》2017年01期

【摘要】：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。
[Abstract]:Simultaneous full duplex is one of the key technologies of the 5th generation (5G) communication, and the digital self-interference cancellation (DISI) algorithm is an important research direction. In order to solve the problem that the estimation of distortion coefficient is affected by the self-interference channel estimation error in the nonlinear digital self-interference cancellation algorithm, a nonlinear self-interference cancellation algorithm based on auxiliary symbols is proposed in this paper. Through self-interference cancellation of auxiliary symbols, the distortion error of channel estimation symbols is mapped to the cancellation results and extracted to estimate distortion coefficients. Then a simplified implementation scheme is proposed to solve the problem of algorithm overhead. The simulation results show that when the self-interference signal is -5 dBm, the self-interference nonlinear distortion component can be offset to about -100 dBm, and the performance is improved with the decrease of the received self-interference power.
【作者单位】：解放军信息工程大学国家数字交换系统工程技术研究中心;清华大学信息技术研究院无线与移动通信技术研究中心;
【基金】：国家973计划项目(2013CB329002) 国家863计划项目(2014AA01A703) 国家重大专项(2014ZX03003002-002) 新世纪优秀人才支持计划(NCET-13-0321) 国家自然科学基金创新群体(61321061)~~
【分类号】：TN929.5

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