基于Hough变换的叶簇环境下SAR/GMTI动目标检测算法

叶簇环境下,当动杂波比较复杂时,常规的目标检测算法CFAR和DPCA不能有效地滤除杂波。提出了一种基于Hough变换的叶簇环境下SAR/GMTI动目标检测算法(HD),该算法在叶簇杂波比较复杂的情况下能够有效滤除动杂波,提取出动目标。首先,介绍了叶簇扰动环境下的场景建模,并且给出了建模分析和建模场景仿真;其次,给出了HD算法推导过程;最后,在建模基础上对该算法和常规算法进行了对比仿真实验。实验结果表明,该算法在较低信噪比情况下也能保持较高的检测概率。

SAR/GMTI Moving Target Detection Algorithm for Foliage Environment Based on Hough Transform

Under foliage disturbance environment,the conventional CFAR and DPCA algorithm can't effectively filter clutter when moving clutter become more complicated. This paper proposes a SAR/GMTI moving target detection algorithm for disturbance environment foliage based on Hough Transform that can effectively filter out moving clutter and extract out the moving target. Firstly,this paper introduces the foliage disturbance scenario modeling,and the modeling analysis and simulation modeling scenarios are given. Secondly,derivation algorithm is based on HD simulation experiments;Finally,this paper give a comparative experiment between HD algorithm and conventional. The simulation results show that this algorithm at lower SNR can maintain a high probability of detection.