基于独立分量分析的自适应最小均方误差多用户检测

Adaptive MMSE Multi-user Detection Based on Independent Component Analysis

分析了CDMA矩阵信号模型和线性独立分量分析的数学模型,根据比较得出这两种模型具有相同形式。将独立分量分析应用于CDMA系统的多用户检测中,提出了基于ICA后处理的自适应最小均方误差(MMSE)多用户检测方法。该方法采用自适应MMSE检测器的输出来初始化独立分量分析的迭代,既利用了信源的独立性,又充分利用了已知扩频码的信息,从而提高了多用户检测器的性能。仿真结果表明:采用提出方法的误码性能优于自适应MMSE检测方法,尤其在高信噪比的情况下,误码性能得到了较大改善。

The CDMA signal model and the noisy linear Independent Component Analysis （ICA） model were analyzed. Comparing these models shows that they have same form. The adaptive minimum mean-square error （MMSE） multiuser detection based on ICA was proposed. It lets the output of adaptive MMSE multiuser detection to initialize the ICA iterations, not only the known spread information of interesting user is used to overcome the uncertainness of ICA, but also the character of statistical independence is used. The simulation results show that it advances the performance of adaptive MMSE multiuser detection when the signal-noise-ratio is high.