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一种基于二重特征分解的稳健波束形成方法
赵文彬
0
(中国西南电子技术研究所,成都 610036)
摘要:
针对强干扰背景下的弱目标被动探测与定位问题,提出了一种基于特征分解的稳健波束形成方法。首先搭建了一个由信号子空间与干扰方向导向矢量组合的特殊矩阵,理论推导了该矩阵特征向量与信号导向矢量间的内在关系,并证明这种数学关系仅与信号间相对方位有关,与信号能量无关;接着利用该关系,构造了能够抑制训练数据中期望信号并保证其余信号功率不变的预处理矩阵;最后对预处理后的训练数据,结合对角加载方法,获得最终波束形成方法的权向量。仿真实验证明,在干扰区间已知时,该算法在保证波束形成的稳健性同时,具有更强的干扰抑制能力。
关键词:  目标探测  自适应波束形成  二重特征分解  干扰抑制
DOI:
基金项目:
Robust Beamforming Based on Doubly Eigen-decomposition
ZHAO Wenbin
(Southwest China Institute of Electronic Technology,Chengdu 610036,China)
Abstract:
To solve the detection problem of passive weak targets under the background of strong interference,a robust capon beamforming method based on doubly eigen-decomposition is proposed.Firstly,a matrix is constructed by signal subspace and steering vector of interference,and theoretical derivation shows the mathematical relationship between the eigenvectors of the constructed matrix and the desired signal steering vectors.Secondly,a pre-filter matrix is designed which can suppress the disired signal and preserve other signal component.Finally,according to the diagonal loading capon beamformer,the robust adaptive-beamforming weight is obtained by using the filtered data.The simulation results demonstrate that the proposed algorithm offers stronger interference suppression ability while ensuring beamformer robustness.
Key words:  target detection  adaptive beamforming  doubly eigen-decomposition  interference suppression
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