机载雷达三维空时降维自适应处理  

Three-dimensional spatial-temporal dimension-reduced adaptive processing for airborne radar

作　　者：向聪[1] 冯大政[1] 曹杨[1] 吕晖[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《系统工程与电子技术》2011年第3期548-551,580,共5页Systems Engineering and Electronics

基　　金：国家自然科学基金(60971111)资助课题

摘　　要：基于机载雷达空时三维自适应处理,提出了一种空时可分离的降维自适应算法。该算法首先利用三个低维(俯仰、方位和时域)权矢量的直积近似表示最优权矢量,然后基于循环迭代的思想依次固定其中两个权矢量,并由此构造相应的降维变换矩阵,在低维空间上优化另一个权矢量。理论分析和实验仿真结果表明,所提算法能有效降低系统计算量和对训练样本的需求,在小样本情况下具有较好的杂波抑制性能和较强的误差稳健性。Aiming at the three-dimensional spatial-temporal adaptive processing（3D-STAP） for airborne radar systems,a new kind of dimension-reduced STAP algorithm is proposed based on the three-dimensional spatial-temporal separability.The optimal weight vector is approximatively denoted by the Kronecker product of three low-dimensional weight vectors（i.e.azimuthal,elevational and temporal weight vectors）.Then a low-dimensional weight vector is optimized cyclically by applying a dimension-reduced matrix constructed by the other two fixed weight vectors.Simulation results demonstrate that the proposed method can remarkably decrease the number of training samples required and the computational complexity and can provide better performance of clutter suppression and more robustness to the errors compared with other methods in the presence of small training samples.

关 键 词：机载雷达 三维空时自适应处理 降维 杂波抑制 

分 类 号：TN957.51[电子电信—信号与信息处理] TN959.73[电子电信—信息与通信工程]