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本文提出了一种加性高斯白噪声 (AWGN)信道下 ,同步直扩码分多址 (DS/CDMA)系统的基于LMK(最小平均峰度 ,LeastMeanKurtosis)准则的线性盲自适应多用户检测器 .这种检测器的算法是一种具有较低计算量的基于高阶统计量的算法 .分析证明了这种检测器的算法的收敛性和可以实现多用户信号的盲解相关 .并对基于该准则的线性盲自适应检测器和基于LMS(最小均方 ,LeastMeanSquare)准则的检测器的收敛性能进行了仿真比较
This paper presents a linear blind adaptive multi-user detector based on LMK (Least Mean Kurtosis) criterion in DS-CDMA systems with additive white Gaussian noise (AWGN) channel The algorithm of this detector is a kind of algorithm based on higher-order statistics with lower computational complexity.The analysis proves the convergence of this algorithm and the blind de-correlation of multi-user signals, The convergence performance of the proposed linear blind adaptive detector and detector based on LMS (Least Mean Square) criterion is simulated and compared