期刊文献+

一种基于改进型EMD的一维雷达距离像信号分析

Signal Analysis of Radar Range Profiles Based on Improved EMD
下载PDF
导出
摘要 论文提出一种基于该进型EMD(经验模态分解)的一维雷达距离像信号的分析方法。首先提出了一种不受插值函数影响的EMD,相对于传统的EMD具有更加稳定的时频特性。然后,应用该方法对几组雷达数据进行时频分析,结合一维雷达距离像的特点,提出了平均瞬时频率和Hilbert-Huang时频谱结合应用的理论,并进行了性能分析。 An analysis algorithm based on improved EMD is proposed in this paper. At first,an improved EMD approach is derived,which gets rid of the existing problems of traditional EMD and has more solid performance in time-frequency analysis.Secondly,a few data are analyzed using this method and some useful conclusions are obtained for the future work. Based on the characteristics of range profile of one-dimensional radar, the theory of combining average instantaneous frequency with Hilbert-Huang time-frequency spectrum is proposed, and the performance analysis is carried out.
作者 程占昕 王艳娜 CHENG Zhanxin;WANG Yanna(Department of Information Systems,Dalian Navy Academy,Dalian 116018;No. 92677 Troops of PLA,Dalian 116018)
出处 《舰船电子工程》 2019年第7期29-31,36,共4页 Ship Electronic Engineering
关键词 经验模式分解 一维雷达距离像 Hilbert-Huang变换和时频谱 Empirical Mode Decomposition(EMD) radar range profiles hilbert-huang transform and time-frequency ananlysis
  • 相关文献

参考文献3

二级参考文献32

  • 1肖顺平,郭桂蓉,庄钊文,陈曾平.基于散射中心的目标建模与识别[J].系统工程与电子技术,1994,16(6):55-61. 被引量:15
  • 2郁文贤,郭桂蓉.ATR的研究现状和发展趋势[J].系统工程与电子技术,1994,16(6):25-32. 被引量:12
  • 3段生全,贺振华,黄德济.HHT方法及其在地震信号处理中的应用[J].成都理工大学学报(自然科学版),2005,32(4):396-400. 被引量:40
  • 4亩心晓宇,刘洪.HHT方法在研究地震旋回体中的应用[J].吉林大学学报(地球科学版),2007,37(3):624-628. 被引量:16
  • 5Ma Junshui. Feature study for high-range-resolution based automatic target recognition: analysis and extraction [D]. Ohio: Ohio State University, 2001.
  • 6Xing Mengdao, Bao Zheng, Pei Bingnan. The properties of high-resolution range profiles[J]. Optical Engineering, 2002,41 (2) : 493-504.
  • 7Huang N E, Shen Z, Long S R. The empirical mode decomposition and the Hitbert spectrum for nonlinear and nonstationary time series analysis[J]. Proc R Soc Lond A,1998,45(4):903-995.
  • 8Kopsines Y, McLaughlin S. Investigation of the empirical mode decomposition based on genetic algorithm optimization schemes [C]// International Conference on Acaustics, Speech, and Signal Processing. Honolulu, Hawaii: [s. n.], 2007, Part Ⅱ : 1397-1400.
  • 9Meignen S, Perrier V. A new formulation for empirical mode decomposition based on constrained optimization [J]. IEEE Signal Processing Letters, 2007,12(1) :1-4,
  • 10Liu Hongwei, Bao Zheng. Radar HRR profiles recognition based on SVM with power-transformed-correlation kernel[J]. Springer Lecture Notes in Computer Science, 2004,3174(Part Ⅰ),531-536.

共引文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部