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首页> 外文期刊>International journal of communication systems >New detection algorithms based on the jointly Gaussian approach and successive interference cancelation for iterative MIMO systems
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New detection algorithms based on the jointly Gaussian approach and successive interference cancelation for iterative MIMO systems

机译：基于联合高斯方法和连续干扰消除的新型MIMO迭代检测算法

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A new detection algorithm based on the jointly Gaussian approach (JGA) and successive interference cancelation (SIC), named the SIC-JGA algorithm, is proposed for iterative MIMO systems. Both the a priori symbol estimates of the undetected layers and the a posteriori symbol estimates of the previously detected layers are used in the SIC process. To reduce the complexity of covariance matrix inversion in the proposed algorithm, simplified algorithms named S-SIC-JGA are investigated for both the single path and multipath block fading channels under M Phase Shift Keying modulations. A detailed complexity analysis is presented for both the SIC-JGA and S-SIC-JGA algorithms. Numerical results exhibit that the system using the SIC-JGA algorithm outperforms the JGA algorithm, with an additional complexity for determining the detection order of SIC. The S-SIC-JGA algorithm has a much lower complexity compared with the SIC-JGA algorithm while experiencing an acceptable system performance degradation. Proper detection algorithms can be chosen in different iterations to balance the system performance and the detection complexity. Copyright (C) 2012 John Wiley & Sons, Ltd.
机译：针对迭代MIMO系统，提出了一种基于联合高斯方法（JGA）和连续干扰消除（SIC）的检测算法，即SIC-JGA算法。在SIC过程中使用未检测到的层的先验符号估计和先前检测到的层的后验符号估计两者。为了减少所提出算法中协方差矩阵求逆的复杂性，针对M相移键控调制下的单路径和多路径块衰落信道，研究了名为S-SIC-JGA的简化算法。针对SIC-JGA和S-SIC-JGA算法均进行了详细的复杂度分析。数值结果表明，使用SIC-JGA算法的系统性能优于JGA算法，而且确定SIC的检测顺序具有额外的复杂性。与SIC-JGA算法相比，S-SIC-JGA算法的复杂度要低得多，同时系统性能也会下降。可以在不同的迭代中选择适当的检测算法，以平衡系统性能和检测复杂性。版权所有（C）2012 John Wiley＆Sons，Ltd.

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