在非高斯信道下多用户检测的鲁棒算法

在无线通信中应用多用户检测技术可以有效去除多路径干扰 (MAI)。实验证明 ,实际信道通常包含冲激噪声 ,从而是非高斯的。讨论了目前扩频通信 (DS SS)中应用于非高斯信道的自适应鲁棒的多用户检测技术 ,以前的研究大多存在两个缺点 :一是需要对非高斯信道的模型有一个先验估计 ;二是计算较基于高斯信道的算法复杂的多。本文从传统的特征空间的自适应跟踪技术PASTd[1] ,针对其误差模型对算法进行修改 ,提出了一种简易的鲁棒算法。经蒙特卡洛仿真证明 ,该方法在含冲激噪声信道中能显著提高信号子空间跟踪的精度

Robust Multiuser Detection in Non-Gaussian Channels

In wireless system where multiuser detection techniques may be applied, the ambient channel noise is known through experimental measurements to be decidedly non Gaussian This paper consider the problem of adaptive robust detection of direct sequence spread spectrum(DS SS) signal in the presence of unknown correlated SS interference and additive non Gaussian noise Many efforts have been made and most of them have two major problems:the first, explicit a priori knowledge of the underlying noise statistics is generally not available in a realistic scenario; second, computational complexity must be taken into consideration From traditional subspace tracking techniques, we derive a robust method with low computational complexity Analytical and simulation results show that the proposed robust techniques offer significant performance better than the normal subspace tracking methods in impulsive noise