期刊文献+

基于离散分数阶傅立叶变换的水下动目标线性调频回波检测算法的研究 被引量:5

Research on Discrete Fractional Fourier Transform-Based Detection Algorithm for LFM Echo of Underwater Moving Target
下载PDF
导出
摘要 水下动目标径向速度造成的回波和样本之间失配导致匹配滤波器对于线性调频(LFM)信号的检测性能下降。利用分数阶傅立叶变换对LFM信号的聚焦特性,提出一种基于离散分数阶傅立叶变换的水下动目标LFM回波检测算法。该算法与零速样本匹配滤波检测算法相比受目标径向速度影响较小,并且理论分析表明在目标回波存在的情况下,这两种算法输出的峰值位置之间存在数学关系。利用该数学关系本文算法同样可以估计目标距离。仿真和实验数据分析表明:本文算法在强混响噪声背景下对于径向速度未知动目标LFM回波的检测性能优于或相当于零速样本匹配滤波。 The mismatch between echo and replica caused by underwater moving target(UMT)'s radial velocity degrades the detection performance of matched filter (MF). By using the focusing property of fractional Fourier transform (FRFT) to linear frequency modulation (LFM) signal, a discrete fractional Fourier transform(DFRFT)-based detection algorithm for UMT's LFM echo was proposed. The algorithm is less affected by target's radial velocity compared with the other MF detection algorithm utilizing zero radial velocity replica(ZRVR), and the mathematical relation between the output peak positions of these two algorithms is present in the case of existence of target echo. The algorithm can also estimate the target distance by using this mathematical relation. The simulation and experiment data analysis show that the algorithm's detection performance is better than or equivalent to that of the other MF detection algorithm utilizing ZRVR for the LFM echo of UMT with unknown radial velocity under reverberation noise background.
出处 《兵工学报》 EI CAS CSCD 北大核心 2007年第7期834-838,共5页 Acta Armamentarii
基金 国家自然科学基金资助课题(60472101)
关键词 信息处理技术 径向速度 匹配滤波器 分数阶傅立叶变换 离散分数阶傅立叶变换 information processing technique radial velocity matched filter fractional Fourier transform(FRFT) discrete fractional Fourier transform(DFRFT)
  • 相关文献

参考文献10

  • 1Candan C,Kutay M A,Ozaktas H M.The discrete fractional Fourier transform[J].IEEE Trans on Signal Processing,2000,48(5):1329-1337.
  • 2Olcay Akay,G Faye Boudreaux-Bartels.Fractional convolution and correlation via operator methods and an application to detection of linear FM signals[J].IEEE Trans on Signal Processing,2001,49(5):979-993.
  • 3陈鹏,侯朝焕,马晓川,梁亦慧.基于DFRFT水下动目标LFM回波检测算法[J].电声技术,2006,30(6):9-12. 被引量:5
  • 4Abraham D A.Simulation of non-Rayleigh reverberation and clutter[J].IEEE Journal of Oceanic Engineering,2004,29(2):347-362.
  • 5Struzinski W,Lowe E.A performance comparison of four noise background normalization schemes proposed for signal detection systems[J].J Acoust Soc Am,1984,76(6):1738-1742.
  • 6陈鹏.关于混响噪声背景下动目标线性调频回波检测和参数估计的方法研究[D].北京:中科院研究生院,2006:11-17.
  • 7Pei S C,Yeh M H,Tseng C C.Discrete fractional Fourier transform based on orthogonal projection[J].IEEE Trans on Signal Processing,1999,47:1335-1348.
  • 8Ozaktas H M,Arikan O,Kutay M A,et al.Digital computation of the fractional Fourier transformation[J].IEEE Trans on Signal Processing,1996,44:2141-2150.
  • 9Almeida L B.The fractional Fourier transform and time-frequency representations[J].IEEE Trans on Signal Processing,1994,42:3084-3091.
  • 10Capus C,Brown K.Short-time fractional Fourier methods for the time-frequency representation of chirp signals[J].J Acoust Soc Am,2003,113(6):3253-3263.

二级参考文献9

  • 1陈鹏,侯朝焕,孙允恭,马晓川,鄢锦,蒋娟梅.一种新型的水下声信号采集系统[J].电声技术,2004,28(8):33-34. 被引量:3
  • 2VAN TREES H L.Detection,estimation,and modula tion theory-part1[M].New York:Wiley,1968.
  • 3CARMILLET V,AMBLARD P O,JOURDAIN G.Detection of phase-or frequency-modulated signals in reverberation noise[J].J.Acoust.Soc.Am.,1999,105 (6):3 375-3 389.
  • 4KAY S,SALISBURY S.Improved active sonar detection using autoregressive prewhiteners[J].J.Acoust.Soc.Am.1990,87(4):1 603-1 611.
  • 5AKAY O,BOUDREAUX-BARTELS F G Fractional autocorrelation and its application to detection and estimation of linear FM signals[C]// Proceedings of 31st Asilomar Conference on Signals,Systems,and Computers,November,1998,Pacific Grove,California.[S.l.]:IEEE Press,1998:832-837.
  • 6PEI Soo-chang,YEH Min-hung,Tseng Chien-cheng.Discrete fractional fourier transform based on orthogonal projections[J].IEEE Trans.on Signal Processing,1999,47(5):1 335-1 348.
  • 7VARGAS-RUBIO J G,SANTHANAM B.On the Multiangle centered discrete fractional fourier transform[J].IEEE Signal Processing Letters,2005,12(4):273-276.
  • 8OZAKTAS H M,ARIKAN O,KUTAY M A.Digital computation of the fractional fourier transformation[J].IEEE Trans.on Signal Processing,1996,44(9):2 141-2150.
  • 9OPPENHEIM A V,SCHAFER R W.Discrete-time signal processing[M].Eaglewood Cliffs:Prentice Hall,1989.

共引文献5

同被引文献47

  • 1赵兴浩,邓兵,陶然.分数阶傅里叶变换数值计算中的量纲归一化[J].北京理工大学学报,2005,25(4):360-364. 被引量:126
  • 2邓兵,陶然,齐林,刘锋.基于分数阶傅里叶变换的混响抑制方法研究[J].兵工学报,2005,26(6):761-765. 被引量:24
  • 3刘建成,王雪松,肖顺平,王国玉.基于Wigner-Hough变换的径向加速度估计[J].电子学报,2005,33(12):2235-2238. 被引量:34
  • 4TAO Ran,DENG Bing,WANG Yue.Research progress of the fractional Fourier transform in signal processing[J].Science in China(Series F),2006,49(1):1-25. 被引量:100
  • 5Vaccaro R J. The past, present, and the future of underwater acoustic signal processing[J]. IEEE Signal Processing Magazine, 1998, 15(4): 21-51.
  • 6Urick R J. Principles of underwater sound[M]. 3rd ed. New York: McGraw-Hill Inc, 1983:237-285.
  • 7Kay S, Salisbury S. Improved active sonar detection in reverberation using autoregressive prewhiteners[J]. Joumal of the Acoustical Society of America, 1990, 87(4): 1603-1611.
  • 8Ginolhac G, Jourdain G. Principal component inverse algorithm for detection in the presence of reverberation[J]. IEEE Journal of Oceanic Engineering, 2002, 27(2): 310-321.
  • 9Stanic S, Kennedy E G. Reverberation fluctuations from a smooth seafloor[J]. IEEE Journal of Oceanic Engineering, 1993, 18(2): 95-99.
  • 10LePage K D. Bottom reverberation in shallow water: Coherent properties as a function of bandwidth, waveguide characteristics, and scattering distributions[J]. Journal of the Acoustical Society of America, 1999, 106(6): 3240-3254.

引证文献5

二级引证文献21

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