一种基于自适应非线性滤波的UWB SAR目标检测预处理方法  

A Novel Preprocessing Method for UWB SAR Target Detection Using Adaptive Nonlinear Filters

作　　者：王红岗[1] 黄晓涛[1] 

机构地区：[1]国防科技大学电子科学与工程学院

出　　处：《雷达科学与技术》2005年第3期163-166,171,共5页Radar Science and Technology

摘　　要：超宽带合成孔径雷达(UWBSAR)具有叶簇穿透能力,但树干等强散射点在图像中形成了大量的脉冲杂波和针状杂波,使检测UWBSAR图像中的目标变得十分困难。本文运用自适应非线性滤波方法对图像进行预处理,滤除了图像中的脉冲杂波和针状杂波,使在恒虚警率(CFAR)目标检测中虚警率明显减少。实际UWBSAR的目标检测结果验证了这种预处理方法的有效性。UWB SAR has the capability of penetrating foliage to image targets under the trees. In this case, it is difficult to perform UWB SAR target detection because of a lot of impulsive or spiky clutter caused by strong tree trunks. A novel preprocessing method based on adaptive nonlinear filters is proposed in this paper, which filters out the unwanted impulsive or spiky noise to decrease the false alarm rate in CFAR detection. Real UWB SAR detection data validate the efficiency of the novel method.

关 键 词：超宽带合成孔径雷达 恒虚警率目标检测 自适应非线性滤波器 叶簇穿透 预处理 

分 类 号：TN957[电子电信—信号与信息处理]