合成孔径雷达目标特征提取新方法

Novel feature extraction method for synthetic aperture radar targets

为了能从雷达回波中快速有效地提取目标几何电磁特征,提出一种稳健而快速的属性散射中心模型特征参数提取方法.通过结合实际合成孔径雷达的应用条件,对属性散射中心模型简化,并利用简化模型构造基函数,继而采用RELAX算法对目标属性散射中心逐个估计与提取.通过引入快速傅里叶算法有效地提高了参数估计效率,并对属性参数的最大搜索间隔和搜索范围进行了理论推导.仿真和实测数据实验证明,这种算法对于目标的属性参数估计较为精确且对噪声不敏感,与传统参数估计方法相比,有效提高了运算效率.

In order to extract geometric and electromagnetic features of targets from the radar echo,a novel parameter estimation algorithm for attributed scattering center decomposition and extraction is presented,which is steady and fast.By simplifying the model with consideration of real synthetic aperture radar working conditions,a simplified model is deduced.It is used to construct the base to represent the radar echo.The RELAX algorithm is utilized to determine the model parameter in an iterative way,with fast Fourier transform used for acceleration.Moreover,the maximum searching intervals and ranges are deduced in literature.Both simulated data and real measured data illustrate that our method is not only precise but also robust.Moreover,through the comparison with traditional methods,the efficiency has been improved effectively.