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

• Original Articles • Previous Articles     Next Articles

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 E-mail:ahqicn@163.com

Abstract:

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

CLC Number: 

  • TN911.23

Baidu
map