电讯技术2018，Vol.58Issue(3)：251-256,6.DOI:10.3969/j.issn.1001-893x.2018.03.003
一种经验模式分解下的海杂波小目标检测方法
A Novel Small Target Detection Method in Sea Clutter after Empirical Mode Decomposition
摘要
Abstract
Detecting small targets effectively in sea clutter is a hot topic and has important application val-ue. It is proved that the sea clutter is a kind of nonlinear and non-stationary radar echo signal. Consider-ing the advantages of ensemble empirical mode decomposition,the sea clutter is decomposed into several independent component with different scales. It is found by analysis that the correlation coefficient of the former 5 components reduces obviously. So this paper proposes a new target detection method in sea clutter based on ensemble empirical mode decomposition and correlation coefficient. The training and testing ex-periments using real and simulation data signals are completed by support vector machine(SVM). The re-sults show that the proposed method not only effectively realizes the target detection in the sea clutter but also performs much better than the generalized Hurst exponent detecting method in time domain,fractional Fourier transform domain and after ensemble empirical mode decomposition.关键词
合成孔径雷达图像/小目标检测/海杂波/整体平均经验模式分解/相关系数Key words
SAR image/small target detection/sea clutter/ensemble empirical mode decomposition/corre-lation coefficient分类
信息技术与安全科学引用本文复制引用
朱雪瑗,杨勇虎,李颖..一种经验模式分解下的海杂波小目标检测方法[J].电讯技术,2018,58(3):251-256,6.基金项目
国家科技支撑计划项目(2014BAB12B02) （2014BAB12B02）
中央高校基本科研业务费(3132014302) （3132014302）
