J4 ›› 2011, Vol. 38 ›› Issue (4): 56-60.doi: 10.3969/j.issn.1001-2400.2011.04.010

• 研究论文 • 上一篇    下一篇



  1. (西安电子科技大学 综合业务网理论及关键技术国家重点实验室,陕西 西安  710071)
  • 收稿日期:2010-05-18 出版日期:2011-08-20 发布日期:2011-09-28
  • 通讯作者: 张琦
  • 作者简介:张琦(1978-),男,西安电子科技大学博士研究生,E-mail: ahqicn@163.com.
  • 基金资助:


Multi-stage MIMO detection algorithm with low complexity

ZHANG Qi;GE Jianhua;LI Jing   

  1. (State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an  710071, China)
  • Received:2010-05-18 Online:2011-08-20 Published:2011-09-28
  • Contact: ZHANG Qi



关键词: MIMO系统, 错误传播, 组干扰抑制, 并行检测


An improved detection algorithm for the MIMO system is presented. Utilizing the group interference suppression (GIS) strategy, the received signal vector is first divided into several groups and each group consists of a pair of sub-stream, then the sub-streams within one group are detected using the low complexity parallel detection (PD) strategy, and stage-by-stage interference cancellation is performed among the groups. Theoretical analysis and simulation results show that in quasi-static flat fading channels, the proposed algorithm outperforms the traditional  Ordered Successive Interference Cancellation(OSIC) and  Maximum Likelihood Decision Feedback Equalization(ML-DFE) algorithm with a significantly lower complexity. In the 4×4 QPSK modulation MIMO system, signal-to-noise ratio improvement of 0.8~6.9dB is obtained for BER of 10-3 with only about 52.7% and 20.1% computational complexity compared with ML-DFE and OSIC algorithm. Furthermore, additional performance benefits can be obtained by employing more antennas and high order modulation.

Key words: MIMO systems, error propagation, group interference suppression, parallel detection


  • TN911.23