一种适用于任意峰度非高斯信号的多目标盲波束形成方法

该文提出了一种新的适用于任意峰度非高斯信号的多目标盲波束形成算法。该方法在最大峰度算法(KMA)的基础上，引入信号的互相关约束定义了一种新的代价函数。通过对该代价函数的最大化，来盲估计波束形成器的权向量，从而完成对多目标的分离和定向。由于波束形成过程不需要正交化处理，避免了波束形成器锁定噪声的可能性。同时，采用一种复数编码的遗传算法来求解权向量，不但可避免陷入局部极值的可能性，而且还能有效提高运行速度。仿真实验验证了该算法的有效性和正确性。

A New Blind Beamforming for Non-Gaussian Signals with Arbitrary Kurtosis

A new blind beamforming algorithm for non-Gaussian signals with arbitrary kurtosis is presented in this paper. Based on Kurtosis Maximization Algorithm (KMA), a new cost function is defined by introducing the cross-correlation of two signals. This method can estimate the weights of beamformers blindly by maximizing the new cost function, so as to separate the multitargets and find the direction. At the same time, a Genetic Algorithm (GA) with complex encoding is used to compute the weight vectors, which not only avoids the local extremum but also improves the computing speed. Simulation proves correctness of this algorithm.