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基于DMFT的LFM信号参数估计 被引量:7

LFM Signal Parameter Estimation Based on Discret Match Fourier Transform
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摘要 线性调频信号是低截获概率雷达常用的一种信号形式,如何在低信噪比情况下检测线性调频信号一直是人们研究的焦点之一。在离散匹配傅里叶变换的基础上对算法进行改进,并利用改进后的算法分别对单分量和多分量线性调频信号进行仿真,仿真结果表明离散匹配傅里叶变换能够在低信噪比情况下比较准确地估计出线性调频信号的参数,不存在交叉项问题。离散匹配傅里叶变换是一种针对线性调频信号有效的参数估计方法。 LFM signal is a common signal form of low probability of intercept radar. How to detect the LFM signal of low SNR is one of the focus for people to investigate. The arithmetic is ameliorated on the basis of Discrete Match Fourier Transform(DFMT), then moni - component LFM signal and multi - component LFM signal is simulated by using the improving arithmetic. The simulation results show that DMFT can truly estimate parameters of the LFM signal in the low SNR,and the problems of across - terms do not exist. DMFT is a valid way to estimate the LFM signal parameter.
出处 《现代电子技术》 2009年第1期1-3,共3页 Modern Electronics Technique
关键词 离散匹配傅里叶变换 线性调频 参数估计 低信噪比 discrete match Fourier transform linear frequency modulation parameter estimation low SNR
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  • 1毛引芳,陈国安.基于WVD-HT的SAR/ISAR多运动目标检测[J].电子科学学刊,1997,19(4):464-470. 被引量:5
  • 2杨福生.随机信号分析[M].北京:清华大学出版社,1990..
  • 3[10]Selin Aviyente and William. J. Williams, A centrosymmetric kernel decomposition for time-frequency distribution computation[J], IEEE Transactions on Signal Processing ,Vol.52, ,June 2004, pp1574-1584.
  • 4[11]James W. Pitton, The statistics of time-frequency analysis[J],Journal of the Franklin Institute, 337(2000) ,pp379-388.
  • 5[12]T. M.Van Veen and F.C.A.Groen, Discretization errors in the Hough transform[J], Pattern Recognition Vol.14,No. 16,1981,pp137-145.
  • 6[1]Currie,N.C.and Brown,C.E.,Principles and applications of millimeter-wave radar[M], Artech House,Inc., 1987.
  • 7[4]Leon Cohen,Time-frequency distributions-a review[J],Processing of the IEEE,Vol.77, No.7,July 1989, pp941-981.
  • 8[5]TA.C.Claasen, W.F.G Mecklenbrauker,The Wigner distribution-a tool for time-frequency signal analysis part Ⅰ,part Ⅱ,part Ⅲ[J],Philips Journal of Research Vol.35,1980.pp217-250,pp276-300,pp372-389.
  • 9[6]Douglas L.Jones,Thomas W. Parks, A resolution comparison of several time-frequency representations[J], IEEE transaction on signal processing, Vol.40,No.2,February 1992,pl413-420.
  • 10[7]S. Barbarossa and A.Zanalda, A combined Wigner-Ville and Hough transform for cross-terms suppression and optimal detection and parameter estimation[J],Proc.ICASSP'92,San rancisco,CA, March 1992,pp173-176.

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