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一种低复杂度的MIMO逐级检测算法 被引量:1

Multi-stage MIMO detection algorithm with low complexity
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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.
出处 《西安电子科技大学学报》 EI CAS CSCD 北大核心 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)
关键词 MIMO系统 错误传播 组干扰抑制 并行检测 MIMO systems error propagation group interference suppression parallel detection
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