在波束域算法中,针对波束域期望信号的指向误差落在波束主瓣边缘时波束性能严重恶化,采用波束域旋转矢量法的线性约束来改善波束域自适应算法的性能,同时为提高工程的实施性,减少算法的计算量,利用信号的特征值大于噪声的特征值这一理论,采用空间协方差矩阵逆的高阶次幂来逼近信号子空间,将求得的权矢量投影于改进的波束域的特征信号子空间,该算法在波束域中不但减少了计算量,而且使波束具有更好的信号比和稳健性。实验仿真验证了提出的改进波束域特征空间的稳健自适应算法的正确性和有效性,具有一定的工程实用价值。
In the beam-space algorithm, when the pointing error of the beam-space beam desired signal falls on the edge of the main lobe of the beam, the performance is always becoming deteriorated. Therefore, this paper used the beam rotation vector of the linear domain constraints to improve the performance of beam-domain adaptive algorithm, meanwhile, in order to apply in the implementation of the project and reduce the computational volume, it employed the space covariance matrix inverse to approach to the power of the signal subspace according to the signal eigenvalues were much greater than the noise characteristic value of the theory. The algorithm not only reduces the beam' s computational quantity and has better signal ratio and robust- ness characteristics. Simulation experiments' results prove that the correctness and the superiority of the modified beam-space eigenspace-based algorithm, having a certain practical value of the project.