一种基于多级分解的空时多用户检测方法

A multiuser detection method based on multistage decomposition of spatio-temporal structure of received signal

本文基于广义旁瓣相消结构和对维纳滤波器进行多级分解方法,提出一种多用户检测器。因为多级分解方法只需估计互相关矢量和标量的自相关,而不涉及数据协方差矩阵的估计和其求逆运算,所以这种多用户检测器具有较低运算复杂度。模拟实验结果表明,在加性白高斯和频率非选择性单径瑞利衰落信道下,该多用户检测器具有较强的干扰抑制性能。

A multiuser detection method is proposed based on the generalized sidelobe canceler and the multistage Wiener filtering technique. The proposed method has a lower computational complexity due to the facts that the multistage Wiener filtering does not involve in estimating the high dimensional data covariance matrix and the corresponding inverse, but simply calculating some correlation vectors. The simulation results show that the proposed method is able to reject the multiple access interference efficiently, when the channel under analysis features the additive white Gaussian noise and a single path Raleigh flat fading.