一种低复杂度的MIMO逐级检测算法

doi:10.3969/j.issn.1001-2400.2011.04.010

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

一种低复杂度的MIMO逐级检测算法

张琦;葛建华;李靖

(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:
国家科技重大专项资助项目(2009ZX03003-003和2009ZX03003-004);国家自然科学基金委员会和广东省政府自然科学联合基金资助项目(U0635003);长江学者和创新团队发展计划资助项目(IRT0852);国家111计划资助项目(B08038)

Multi-stage MIMO detection algorithm with low complexity

ZHANG Qi;GE Jianhua;LI Jing

(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

摘要/Abstract

摘要：

提出一种改进的多输入多输出(MIMO)检测算法．该算法利用组干扰抑制方法将待检测数据分为分组数据子流对，其中组内采取低复杂度的并行检测，组间进行干扰抵消逐级检测．理论分析和仿真结果表明，在准静态平坦衰落信道下，该算法与传统的排序连续干扰消除(OSIC)和最大似然判决反馈均衡(ML-DFE)算法相比，能有效地提高系统性能，且计算复杂度更低．在4发4收四相移频键控调制的MIMO系统中，运算复杂度仅为ML-DFE和OSIC的52.7%和20.1%，在10^-3的BER时，可获得0.8～6.9dB增益．在配置更多天线与采用高阶调制时，所提算法可获得更大的性能增益．

关键词: MIMO系统, 错误传播, 组干扰抑制, 并行检测

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

中图分类号:

TN911.23

张琦;葛建华;李靖. 一种低复杂度的MIMO逐级检测算法[J]. J4, 2011, 38(4): 56-60.

ZHANG Qi;GE Jianhua;LI Jing. Multi-stage MIMO detection algorithm with low complexity[J]. J4, 2011, 38(4): 56-60.

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一种低复杂度的MIMO逐级检测算法

Multi-stage MIMO detection algorithm with low complexity

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