东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (4): 493-495+500.DOI: -

• 论著 • 上一篇    下一篇

一种改进的MIMO系统串行干扰消除检测算法

刘丽;汪晋宽;闫冬梅;刘福来;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60874108,60904035,61004052);;

An improved SIC detection algorithm for MIMO systems

Liu, Li (1); Wang, Jin-Kuan (1); Yan, Dong-Mei (1); Liu, Fu-Lai (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Liu, L.
  • About author:-
  • Supported by:
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摘要： 使用串行干扰消除(SIC)方法进行MIMO系统信号检测时,先检测出的信号对后续层信号的检测有很大影响,存在误差传播现象.针对这一问题,提出一种改进的SIC检测算法.所提算法在进行SIC检测时,对前层采用穷举搜索,并对所得到的P维信号的累积度量值进行计算和排序,从中取出L组具有最小度量值的信号,再对其后续层利用SIC进行检测.由于对前P层进行穷举搜索,降低了检测的误码率,从而减少了误差传播,提高了系统的检测性能.通过调节参数P和L,可以在计算复杂度和检测性能间取得适当的折中.

关键词: 多入多出系统, 串行干扰消除, 穷举搜索, 多级检测

Abstract: When using successive interference cancellation (SIC) in MIMO detection, overall performance is determined by the first stages being decoded due to error propagation. To solve this problem, an improved SIC detection algorithm was proposed. For the algorithm undergoing SIC detection, an exhaustive search of initial P level signals was conducted, and accumulated metrics were calculated and arranged in order. From these were selected L signals with the smallest metrics. Then SIC algorithms were used to detect ongoing levels. Exhaustively searching initial P levels reduced frequency of coding errors and consequent error propagation and improved detection ability of the system. An appropriate trade-off between detection performance and computation complexity was obtained by adjusting P and L values.

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