基于特征结构提取的盲自适应波束形成算法

A Blind Adaptive Beamforming Algorithm Based on Eigenstructure Extraction

在所有盲自适应波束形成算法中，ＳＣＯＲＥ无疑是一种出色的算法．然而，求解过程中所需进行的奇异值分解而导致的巨大运算量令人无法忍受．本文把它归结为一类特征结构的提取问题，提出了一个合适的代价函数，通过对代价函数取极小可以提取所需要的最大特征值，从而将运算量大大降低．计算机仿真验证了这种方法的正确性．

SCORE is an excellent blind adaptive beamforming algorithm among all of them. However, the huge computation in singular value decomposition is terrible. We include them into a kind of eigenstructure extraction questions, and propose a cost function. One can obtain the largest eigenvector by minimizing the cost function, and reduce the computation. Compute simulations show that the proposed method is reasonable.