基于HHT的星载SAR海面动目标检测  

A Detection Algorithm of Moving Targets Based on HHT in Space-Borne SAR

作　　者：耿逸群 宋红军[1] GENG Yi-qun;SONG Hong-jun(Institute of Electronics,Chinese Academy of Sciences Engineering,Beijing 100190,China;University of Chinese Academy of Sciences Engineering,Beijing 100049,China)

机构地区：[1]中国科学院电子学研究所,北京100190 [2]中国科学院大学,北京100049

出　　处：《计算机仿真》2019年第6期44-48,97,共6页Computer Simulation

基　　金：国家重大型号项目(Y1K2160066)

摘　　要：为了提高星载SAR海面动目标检测及参数估计的准确性,针对强杂波场景下的目标回波信号被海杂波及噪声淹没的问题,提出了一种基于经验模态分解(Empirical Mode Decomposition,EMD)阈值滤波及Hilbert-Huang变换(Hilbert-Huang transform,HHT)的海面动目标检测及参数估计算法。算法首先通过EMD将回波分解为杂波和目标分量等,通过EMD阈值滤波滤除大部分海杂波和噪声,然后计算目标分量的瞬时频率,获得频率随时间变化的HHT谱,最终利用线性拟合估计目标运动参数。算法自适应对信号进行分解,去噪和抑制杂波操作简单,并可同时对多目标进行运动参数估计,有助于简化多目标运动检测和参数估计流程。仿真结果表明了算法的有效性。In order to improve the accuracy of the detection and parameter estimation of moving targets in the space-borne SA R,aiming at the problem that target echo signals are submerged in sea clutter and noises in the strong clutter scenario,an algorithm based on EMD threshold filtering and the Hilbert-Huang Transform(HHT)is given in this paper.Firstly,empirical mode decomposition(EMD)was used to decompose echoes into clutter and target components.Most of the clutter and noise was filtered out by EMD threshold filtering.Then the instantaneous frequency of the target component wass calculated to obtain the HHT spectrum with time-varying.Finally,target motion parameters w estimated by using linear fit.The algorithm adaptively decomposes the signal,denoising and suppressing clutter are easy to operate,and it can simultaneously estimate the motion parameters of multiple targets,which helps to simplify the multi-target motion detection and parameter estimation flow.Simulation results show the validity of the algorithm.

关 键 词：希尔伯特-黄变换 时频分析 杂波抑制 参数估计 

分 类 号：TN955[电子电信—信号与信息处理]