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中文摘要：
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.
英文摘要：
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.
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