Reduced-dimension space-time adaptive processing for airborne radar with co-prime array
Reduced-dimension space-time adaptive processing for airborne radar with co-prime array
复制标题
共素阵列机载雷达降维空时自适应处理
DOI：
10.1049/joe.2019.0170
复制
发表时间：
2019-10-01
影响因子：
0.7
通讯作者：
Huang, Jianjun
中科院分区：
文献类型：
--
作者：
Wang, Xiaoye;Yang, Zhaocheng;Huang, Jianjun
与传统的均匀线阵空时自适应处理相比，共素阵机载雷达的空时自适应处理(STAP)具有明显的优势。然而，该方法需要较高的运算复杂度和较大的训练数据量。这促使作者提出了一种计算量相对较小、收敛速度较快、性能令人满意的新方法。具体地说，在现有的方法中加入了多普勒域的降维变换。然后通过降维处理得到降维干扰协方差矩阵和目标导向向量，从而利用得到的干扰协方差矩阵和目标导向向量设计了两个降维STAP滤波器。数值仿真结果表明了该方法的优越性。
Space-time adaptive processing (STAP) for airborne radar with co-prime arrays is shown to have excellent superiority compared to traditional STAP with uniform linear array radar. However, high arithmetic computational complexity and large amount of training data are required in this approach. This motivates the authors to present a new approach which is relatively low computational load and fast convergence with satisfactory performance. Specifically, a reduced-dimension transformation in Doppler domain is incorporated into the existing approach. The reduced-dimension interference covariance matrix and target steering vector are then achieved by performing the reduced-dimension process, and hence two reduced-dimension STAP filters are designed using the derived interference covariance matrix and target-steering vector. Numerical simulations are carried out to reveal the superiority of the proposed approach.