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一种基于QR分解的稳健干扰对齐算法

谢显中 张森林 肖正瑛

谢显中, 张森林, 肖正瑛. 一种基于QR分解的稳健干扰对齐算法[J]. 电子与信息学报, 2015, 37(8): 1957-1963. doi: 10.11999/JEIT141585
引用本文: 谢显中, 张森林, 肖正瑛. 一种基于QR分解的稳健干扰对齐算法[J]. 电子与信息学报, 2015, 37(8): 1957-1963. doi: 10.11999/JEIT141585
Xie Xian-zhong, Zhang Sen-lin, Xiao Zheng-ying. Robust Interference Alignment Algorithm Based on QR Decomposition[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1957-1963. doi: 10.11999/JEIT141585
Citation: Xie Xian-zhong, Zhang Sen-lin, Xiao Zheng-ying. Robust Interference Alignment Algorithm Based on QR Decomposition[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1957-1963. doi: 10.11999/JEIT141585

一种基于QR分解的稳健干扰对齐算法

doi: 10.11999/JEIT141585
基金项目: 

国家自然科学基金(61271259, 61301123),重庆市自然科学基金(CTSC2011jjA40006),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)和重庆市科委重点实验室专项经费(CSTC)

Robust Interference Alignment Algorithm Based on QR Decomposition

  • 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。
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出版历程
  • 收稿日期:  2014-12-11
  • 修回日期:  2015-04-20
  • 刊出日期:  2015-08-19

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