摘要
为提高海杂波中慢速目标的检测性能,该文提出了一种基于IMF方差特性差异的目标检测技术。该算法对原始信号经经验模态分解后得到的固有模态函数进行分段数据重构,计算前端IMF分量与后端IMF分量的方差比,并将其输入非参量检测器中进行目标检测。研究表明,相比于海杂波单元,目标单元有更小的前后端IMF分量方差比,适用于慢速目标的检测。
In order to improve detection performance against slow target in sea clutter,target detection technology based on variance characteristic differences is proposed. Firstly,for getting Intrinsic Mode Function( IMF) after data reconstruction,the original signal is decomposed by using Empirical Mode Decomposition( EMD),then the variance ratio of IMF is calculated and target is detected by nonparametric detector. The results show that,comparing with sea clutter bin,the variance ratio of IMF is bigger in target bin,the technology is suitable for slow target detection.
出处
《火控雷达技术》
2016年第2期1-6,共6页
Fire Control Radar Technology
基金
国家自然科学基金(61501487
61471382
61401495
61201445
61179017)
山东省自然科学基金(2015ZRA06052)
飞行器海上测量与控制联合实验室开放基金
"泰山学者"建设工程专项经费资助
关键词
固有模态函数
方差特性
广义符号
海杂波
intrinsic mode function
variance characteristic
generalized sign
sea clutter