期刊文献+

Hilbert-Huang变换在瞬态信号检测中的应用 被引量:4

The application of Hilbert-Huang transform in transient signal detection
在线阅读 下载PDF
导出
摘要 空投物体入水时产生具有时域冲击特性的信号,一般称之为瞬态信号。Hilbert-Huang变换可通过经验模态分解和Hilbert谱分析两种方法,从时频角度对瞬态信号进行分析。介绍了Hilbert-Huang变换的基本原理,建立了瞬态信号的数学模型,提出了基于Hilbert-Huang变换的信号重构瞬态信号检测方法,并与传统能量检测器的性能进行了对比分析,最后通过软件仿真和湖试数据处理验证了该方法的可行性和有效性。 When an object airdropped into the water, some signals with impact characteristics in time domain will be generated, which are commonly known as transient signals. Hflbert-Huang Transform could analyze the transient sig- nals in time-frequency domain by empirical mode decomposition and Hilbert spectral analysis. The principle of Hil- bert-Huang Transform is introduced, and the mathematic model of transient signal is formed. A new method of tran- sient signal detection based on Hilbert-Huang Transform is proposed, whose performance is analyzed and compared with that of the traditional energy detector. Finally the feasibility and validity of the method are verified by the software simulation and the data processing of lake experiment.
出处 《声学技术》 CSCD 北大核心 2015年第2期167-171,共5页 Technical Acoustics
基金 国家自然科学基金资助项目(51209059 61201411) 国家"863计划"资助项目(2013AA09A503)
关键词 HILBERT-HUANG变换 瞬态信号检测 信号重构 能量检测器 Hilbert-Huang transform transient signal detection signal reconstruction energy detector
作者简介 作者简介:杨振(1973-),男,江西南城人,硕士,高级工程师,研究方向为水声信号处理技术。 通讯作者:邹男。E-mail:zounan@hrbeu.edu.cn
  • 相关文献

参考文献7

  • 1李秀坤,李婷婷,夏峙.水下目标特性特征提取及其融合[J].哈尔滨工程大学学报,2010,31(7):903-908. 被引量:18
  • 2王燕,林旺生,梁国龙,等.声线弯曲对同步水声定位系统影响分析及修正[J].声学技术,2009.28(5):123-124.
  • 3王燕,邹男,付进,梁国龙.基于局部瞬时能量密度级的瞬态信号检测方法[J].电子与信息学报,2013,35(7):1720-1724. 被引量:14
  • 4Tsakalozos Nikolaos, Drakakis Komtantinos, and Rickard Scott. A formal study of the nonlinearity and consistency of the Empirical Mode Decomposition[J]. Signal Processing, 2012, 92(9): 1961- 1969.
  • 5Bouzid, EUouze. Maximum Error in Discrete EMD Decomposi- tion of Periodic Signals[C]//Digital Signal Processing I5th Inter- national Conference, Cardiff, 2007: 563-566.
  • 6Bouchikhi, Abdelkhalek. Multicomponent. AM-FM signals analy- sis based on EMD-B-splines ESA[J]. Signal Processing, 2012, 92(9): 2214-2228.
  • 7穆玉涛,方世良.Hilbert-Huang变换在水声瞬态信号处理中的应用[J].声学技术,2007,26(5):992-993. 被引量:4

二级参考文献22

  • 1吕俊军,吴国清,杜波.非高斯水声瞬态信号Power-Law检测[J].声学学报,2004,29(4):359-362. 被引量:24
  • 2汤渭霖.声呐目标回波的亮点模型[J].声学学报,1994,19(2):92-100. 被引量:141
  • 3PEINE H,BRECHT D,BRODER F.Detection of objects buried in the seafloor[J].Acta Acustica United with Acustica,2006,92:150-152.
  • 4STERNLICHT D D,LEMONDS D W,DIKEMAN R D,et al.Detection and classification of buried objects with an adaptive acoustic mine-hunting system[J].Oceans Conference Record,2001(1):212-219.
  • 5YODER T J,BUCARO J A,HOUSTON B H,SIMPSON H J.Long range detection and identification of underwater mines using very low frequencies (1-10kHz)[J].Proceedings of SPIE-The International Society for Optical Engineering,1998,3392:203-210.
  • 6ROBINSON M,AZIMI-SADJADI M R,STERNLICHT D D,LEMONDS D.Multi-aspect acoustic classification of buried objects[C] //Proc of OCEANS 2003.San Diego,CA,USA,2003:478-484.
  • 7HUANG N E.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].J Proc R Soc London A,1998,454:903-995.
  • 8SCHLKOPF B,SMOLA A,MLLER K R.Kernel principal component analysis[C] //Proc of ICANN'97.Lausanne,Switzerland,1997:583-589.
  • 9李梅.基于短时相关法的瞬态信号检测.声学技术,2002,21:101-103.
  • 10Norden E.Huang.The empirical mode decomposition and the Hilbert spectrum for non-linear and non-stationary time series analysis[J].Proc.R.Soc.London,1998,(454):903-995.

共引文献30

同被引文献33

引证文献4

二级引证文献6

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