一种低复杂度的MIMO逐级检测算法  

Multi-stage MIMO detection algorithm with low complexity

作　　者：张琦[1] 葛建华[1] 李靖[1] 

机构地区：[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

出　　处：《西安电子科技大学学报》2011年第4期56-60,共5页Journal of Xidian University

基　　金：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)

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0.8～6.9 dB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.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.

关 键 词：MIMO系统 错误传播 组干扰抑制 并行检测 

分 类 号：TN911.23[电子电信—通信与信息系统]