期刊文献+

基于IMF方差特性差异的目标检测技术 被引量:1

Target Detection Technology Based on Variance Characteristic Differences
下载PDF
导出
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
  • 引文网络
  • 相关文献

参考文献13

  • 1Norden E.Huang,Zheng Shen,Steven R.Long,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[M],Proc.R.Soc.Lond.A,1998:903-995.
  • 2Yang Gong-liu,Liu Yuan-yuan,Wang Yanyong,et al.EMD interval thresholding denoising based on similarity measure to select relevant modes[J].Signal Processing,2015,109(2015):95-109.
  • 3Ahmet Mert and Avdin Akan.Detrended fluctuation thresholding for empirical mode decomposition based denoising[J].Signal Processing,2014,32(2014):48-56.
  • 4Dustin P.Fairchild and Ram M.Narayanan.Classification of human motions using empirical mode decomposition of human micro-Doppler signatures[J].IET Radar Sonar Navigation,2014,5(8):425-434.
  • 5Yuan Bin,Chen Zeng-ping,and Xu Shi-you.Micro-Doppler analysis and separation based on complex local mean decomposition for aircraft with fast-rotating parts in ISAR imaging[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(2):1285-1298.
  • 6Song Rui,Guo Hua-dong,and Liu Guang.Improved Goldstein SAR Interferogram filter based on empirical mode decomposition[J].IEEE Geoscience and Remote Sensing Letters,2014,11(2):399-403.
  • 7林文晶,张榆锋,章克信,李支尧,李海燕,高莲,李媛媛.总体经验模态细分法提取血流超声多普勒信号的研究[J].电子学报,2014,42(7):1424-1428. 被引量:7
  • 8余炜,周娅,马晶晶,万代立,刘伦,张灿斌.基于EMD和LVQ的信号特征提取及分类方法[J].数据采集与处理,2014,29(5):683-687. 被引量:8
  • 9王玉静,康守强,张云,刘学,姜义成,Mikulovich V I.基于集合经验模态分解敏感固有模态函数选择算法的滚动轴承状态识别方法[J].电子与信息学报,2014,36(3):595-600. 被引量:32
  • 10肖春生,察豪,周沫.基于EMD的海杂波特性与目标检测[J].雷达与对抗,2011,31(2):1-4. 被引量:6

二级参考文献73

共引文献61

同被引文献4

引证文献1

二级引证文献1

;
使用帮助 返回顶部