基于过采样的六二阶归一化累积量盲均衡算法

Sixth-Second Order Normalized Cumulant Blind Equalization Algorithm Based on Oversampling

现有盲均衡算法大多采用先辨识信道、再进行均衡的方法,但信道阶数的估计是一个难点。将高阶归一化累积量用于盲均衡,提出一种基于过采样的六二阶归一化累积量盲均衡算法。该算法不需要辨识信道和估计信道阶数,只对接收信号的六二阶归一化累积量进行优化。仿真结果验证了算法的有效性。

Most existing blind equalization algorithms rely on partial or complete channel identification, but the channel order estimation is always a difficult task. Higher order normalized cumulant analysis was applied to the blind equalization, and a new sixth-second order normalized cumulant blind equalization algorithm based on oversampling was proposed. The proposed method algorithm of sixth-second order normalized cumulant Simulation results show the algorithm＇s effectiveness. recovered the transmitted sequence adopting optimization without channel identification and channel order estimation.