CDMA时变色散信道基于一阶统计量的盲辨识算法

Blind identification of CDMA time-varying dispersive channels based on first-order statistcs

在深入分析CDMA时变色散信道的离散正则模型的基础上,给出了一种新的CDMA时变色散信道的盲辨识方法。使用解相关接收机分离出时变有效特征波形中的信道参数后,仅利用处理后信号的一阶统计量,通过少量的导频符号,就可以实现对信道的辨识。这种方法和通常的基于二阶统计量的盲辨识算法相比具有更低的运算复杂度,同时所需要的观察数据也更少。仿真结果证明了算法的有效性。

Based on the discrete-time canonical model, a new blind identification approach for CDMA time-varying dispersive channels is proposed. With the first-order statistics of the time-frequency decorrelating receiver output, the channel parameter is estimated. The appraoch has lower complexity of computation and need less observations than that of usual blind identification approaches. Simulation results illustrate the effectiveness of the proposed appraoch.