一种基于QR分解的稳健干扰对齐算法

发布时间：2018-01-01 13:17

本文关键词：一种基于QR分解的稳健干扰对齐算法　出处：《电子与信息学报》2015年08期 　论文类型：期刊论文

【摘要】：大多数干扰对齐算法都假定发送端可以获得理想的信道状态信息(CSI),由于信道估计误差、反馈延迟等原因,实际通信系统中CSI往往是有误差的。为此,该文提出一种基于QR分解的稳健干扰对齐算法。对含有误差的联合接收信号进行基于QR分解的预处理,消除一半有误差的干扰;然后在有误差的等效信道联合矩阵下,充分考虑信道误差和干扰的影响,通过最小化发送端泄漏到非目标接收端的干扰信号功率来设计预编码矩阵,并基于最小均方误差(MMSE)准则来设计干扰抑制矩阵。最后,在理想CSI和误差CSI的情况下,通过实验仿真,证明了该算法有效地提高了系统性能。
[Abstract]:Most interference alignment algorithms assume that the sender can obtain ideal channel state information due to channel estimation error feedback delay and so on. In practical communication systems, CSI often has errors. In this paper, a robust interference alignment algorithm based on QR decomposition is proposed. The joint received signals with errors are preprocessed based on QR decomposition. Elimination of half of the interference with errors; Then under the equivalent channel joint matrix with errors, the influence of channel error and interference is fully considered, and the precoding matrix is designed by minimizing the power of interference signal leaking from the sender to the non-target receiver. The interference suppression matrix is designed based on the minimum mean square error (MMSE) criterion. Finally, in the case of ideal CSI and error CSI, the simulation is carried out. It is proved that the algorithm improves the system performance effectively.
【作者单位】：重庆邮电大学个人通信研究所;
【基金】：国家自然科学基金(61271259,61301123) 重庆市自然科学基金(CTSC2011jj A40006) 重庆市教委科学技术研究项目(KJ120501,KJ130536) 长江学者和创新团队发展计划(IRT1299) 重庆市科委重点实验室专项经费(CSTC)资助课题
【分类号】：TN911.4
【正文快照】： 1引言干扰对齐(Interference Alignment,IA)技术[1,2]由于其能够有效地消除同频道干扰,受到了广泛的关注。目前,大多数干扰对齐算法[3,4]都是基于完美的信道状态信息(Channel State Information,CSI)。由于信道估计误差、反馈延迟等原因,实际通信系统中CSI往往是有误差的,使得

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