摘要
机载雷达回波数据非均匀会在很大程度上削弱传统空时自适应处理算法的杂波抑制性能。为此,提出一种基于杂波脊先验信息的非均匀杂波抑制方法,利用机载雷达杂波信号在角度多普勒平面的谱分布信息构造导向矢量基,并在考虑阵元误差影响情况下,对待检测单元数据进行迭代的最小二乘拟合,最后对拟合后的剩余数据进行恒虚警检测处理。该方法充分利用了雷达系统参数及杂波谱分布等先验信息,并且不需要训练样本,可以较好地抑制非均匀杂波,从而改善机载雷达的检测性能。仿真实验验证了该方法的有效性。
The heterogeneity of echo data in airborne radar can severely degrades the clutter suppression perform- ance of conventional space-time adaptive processing （STAP）algorithms. To address this issue, a heterogeneous clut- ter suppression method based on the prior knowledge of clutter ridges is presented. A set of steering vector basis is first constructed by utilizing the spectral characteristics of the ground clutter seen by airborne radar, and then used to fit the test data in an iterative least mean-square manner with the presence of the array error under con- sideration. Subsequently, the constant false alarm rate detection is conducted on the residual data. This method makes full use of the prior knowledge of radar system parameters and clutter spectral structure and does not need any training samples, which can effectively suppress the heterogeneous clutter and significantly improve the detection performance of the airborne radar. Simulation results validate the effectiveness of the proposed method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2015年第5期1035-1041,共7页
Systems Engineering and Electronics
基金
国家自然科学基金(61372133
61471285)
中央高校基本科研业务费专项资金(K50511020008)资助课题
关键词
机载雷达
空时自适应处理
非均匀杂波
先验信息
杂波脊
airborne radar
space-time adaptive processing（STAP）
heterogeneous clutter
prior knowledge
clutter ridge
