长拖尾K分布杂波下雷达目标散射中心参数的稳健估计

实际条件下，在对基于衰减指数(DE)和模型的雷达目标散射中心参数估计和特征提取时，其噪声背景往往是非高斯的，分布密度函数表现出长拖尾性质。利用基于高斯假设条件下的估计方法进行参数估计时，往往不能得到较好的结果。针对这种情况，该文利用M估计方法来实现对长拖尾杂波下DE模型参数的稳健估计。首先分析了基于PRONY模型的M估计实现方法存在的不足，其次提出了两种较为有效的DE模型散射中心参数M估计的实现方法，并对这两种方法进行了分析和比较。仿真实验结果表明，在一类长拖尾K分布杂波条件下，与ESPRIT方法以及扩展PRONY估计方法相比，该文所提的两种方法均能得到较好的估计结果。

Robust Estimation of Scattering Center Parameters in Long-Tailed K-Distribution Clutter

When the parameter estimation of Damped Exponentials(DE) based scattering center model is considered in real life situation,the noise is always non-Gaussian and has long-tailed distribution.The estimation error in such noise may be large if the estimator under gauss-noise assumption is used.In this paper,the M-estimation method is used to obtain robust parameter estimation of DE-model in long-tailed clutter.Firstly,the shortcoming of Prony-based M-estimation method is analyzed.Then,other two effective methods to realize M-estimation of DE-model are proposed.A comparative study of these two methods is carried on about their estimation performance.Lastly,Monte-Carlo simulation test is performed to validate the proposed methods.The results show that the two proposed methods both give better estimation results in long-tailed K-Distribution clutter.