摘要
针对直接数据域最小二乘算法存在有效阵列孔径损失及自适应方向图旁瓣电平较高等不足,提出一种利用单次快拍数据进行自适应处理的改进算法.该方法基于直接数据域最小二乘算法所得的权值,构造出一个变换矩阵,并对阵列接收的单次快拍数据样本进行预变换处理,形成子阵级输出后,根据噪声增益最小化准则,对各子阵进行自适应波束的形成,从而充分利用了所有阵元信息,不仅提高了有效阵列孔径,而且明显改善了阵列抑制严重非平稳干扰的性能.计算机仿真结果表明了该方法的有效性.
An improved method using a snapshot-by-snapshot was proposed. A transformation matrix was constructed, based on the weight obtained by direct data domain least squares （Da LS） algorithm, for pretransforming the single snapshot data. According to the noise gain minimum criterion, adaptive beamforming at subarray level was carried out. （）wing to using the information from all elements, the effective array aperture was increased and the array output performance of suppressing serious nonstationary interference. The final simulation experiments demonstrated the effectiveness of the proposed approach.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第3期22-24,28,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(60736009)
关键词
最小二乘算法
非平稳
单次快拍
直接数据域
阵列孔径
子阵
least squares algorithm
nonstationary
single snapshot
direct data domain
array aperture
subarray
