一种抗强干扰的预处理LS-CMA算法

提出了一种基于最小二乘恒模算法（LS－CMA）的具有快速收敛特性的盲波束形成新方法。经过特定的预处理过程，该算法弥补了原LS－CMA 算法在强干扰环境下产生了“干扰捕获”的缺陷，只需一次快拍就能够较迅速地抑制共信道干扰，恢复期待信号。仿真实验证明，该算法的收敛性能比较稳定，优于原算法。

Preprocessing LS-CMA in Highly Corruptive Environment

A new fast preprocessing Least Square-Constant Modulus Algorithm(LS-CMA)for blind adaptive beamforming is proposed. It precludes the noise capture caused by the original LS-CMA, effectively and quickly rejects the co-channel interference and locks onto the constant modulus desired signal with only one snapshot in highly corruptive environment. The simulation results show the preprocessing algorithm outperforms the original LS-CMA.