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慢衰落信道下的自适应MIMO检测算法 被引量：3

Adaptive MIMO Detection Algorithm in Fading Slowly Channels
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摘要 针对现有V-BLAST检测算法复杂度高的问题,本文提出了一种适用于慢衰落信道环境下的自适应MIMO检测算法。该算法首先利用基于最小均方误差准则的排序干扰抵消算法获得信号检测顺序和初始滤波器系数;利用信道之间的相关性,应用最小均方误差(LMS)算法到判决反馈均衡(DFE)结构中,完成滤波器系数的更新,从而避免了大量的矩阵求逆操作。仿真结果表明,与传统的MMSE-OSIC算法相比,本文算法在检测性能上略有下降,但具有更低的计算复杂度和更高的处理效率。 Aiming at high complexity of existing detection algorithm in V-BLAST system, a adaptive MIMO detection algorithm based on fading slowly channels is proposed in this paper. This scheme acquires the signal detection order and initial filter weight vectors through the Ordered Successive Interference Cancellation （ OSIC ） algorithm based on Minimum Mean Square Error （MMSE） criterion. The filter weight vectors can be updated by applying the Least Mean Square （LMS） algorithm into Decision Feedback Equalizer （DFE） according to the channel correlation, in which lots of matrix inversing operation. Simulation results show that the proposed algorithm can acquire lower computation complexity and higher processing efficiency in spite of a little performance degradation compared with traditional MMSE-OSIC detection algorithm.
作者 蒋攀攀 王大鸣 徐尧 陈坤汕
机构地区 中国洛阳电子装备试验中心 解放军信息工程大学
出处 《信号处理》 CSCD 北大核心 2014年第6期736-740,共5页 Journal of Signal Processing
基金 国家科技重大专项(2011ZX03003-003-02)
关键词 V—BLAST 排序干扰抵消 判决反馈均衡 LMS V-BLAST ordered successive interference cancellation decision feedback equalizer LMS
分类号 TN925 [电子电信—通信与信息系统]
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参考文献11

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二级参考文献18

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共引文献10

同被引文献33

  • 1张帆,袁宇,晏志强.Massive MIMO场景化天线权值的优化[J].电子技术（上海）,2021,50(8):14-15. 被引量：1
  • 2苟坤.5G无线通信系统的关键技术分析[J].电信快报,2021(8):26-28. 被引量：9
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引证文献3

二级引证文献1

信号处理
2014年 第6期

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