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时域欠采样线性调频信号参数估计方法 被引量:2

Parameter estimation of undersampled LFM sources
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摘要 针对Nyquist采样频率过高 ,硬件实现困难的问题 ,提出了一种基于分数阶傅里叶变换的时域欠采样线性调频信号参数估计方法。该方法首先用时域解线调方法估计调频斜率 ,然后在分数阶傅里叶变换域进行滤波 ,实现信号提取。利用PRO ESPRIT方法进行初始频率估计。数值仿真表明 ,本方法能够实现多个线性调频信号的高精度参数估计 。 In some applications, sampling with Nyquist frequency may be hard to implement due to hardware limitation. A new method for parameter estimation of undersampled LFM (linear frequency-modulated) sources based on fractional Fourier transform (FRFT) is proposed. The method uses time domain dechirp algorithm for chirp rate estimation. By filtering in the fractional Fourier domain, signals are extracted from the mixture of sources and noise. Initial frequency estimates are obtained by using PRO-ESPRIT algorithm. Numerical simulations show that this method can deal with multi-component signals. Parameter estimation with high accuracy is also available at low SNR.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2004年第7期867-869,880,共4页 Systems Engineering and Electronics
关键词 欠采样 线性调频信号 参数估计 分数阶傅里叶变换 undersampling LFM signal parameter estimation fractional Fourier transform
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参考文献8

  • 1Tsui J B Y. Digital Techniques for Wideband Receiver[M]. Artech House, Inc., 1995.
  • 2Zoltowski M D, Mathews C P. Real Time Frequency and 2-D Angle Estimation with Sub-Nyquist Spatial-Temporal Sampling[J]. IEEE Trans. on SP.,1994,42(10): 2781-2794.
  • 3Barbarassa S. Parameter Estimation of Undersampled Signals by Wigner-ville Analysis[J]. ASSP, 1991.3253-3256.
  • 4陶然,单涛,周思永,王越.欠采样信号频率估计[J].兵工学报,2000,21(2):174-176. 被引量:1
  • 5Haldun M, Orhan Arikan. Digital Computation of the Fractional Fourier Transform[J]. IEEE Trans. on SP., 1996,44(9): 2141-2150.
  • 6Santhanam B, McClellan J H. The Discrete Rotational Fourier Transform[J]. IEEE Trans. on SP., 1996, 44(4): 994-998.
  • 7Pei S C, Yeh M H. Discrete Fractional Fourier Transform[A]. in Proc. IEEE Int. Symp. Circuits Syst., 1996(2): 536-539.
  • 8Pei S C, Yeh M H. Discrete Fractional Fourier Transform Based on Orthogonal Projection[J]. IEEE Trans. on SP., 1999,47(5): 1335-1348.

二级参考文献5

  • 11,Barbarassa S. Parameter estimation of undersampled signals by wigner-ville analysis. ASSP, 1991:3253~3256
  • 22,Zhou Guotong. On polynomial phase signals with time-varying amplitudes. IEEE Trans SP, 1996,44(4):848~861
  • 33,Kumaresan R, Verma S. On estimating the parameters of chirp signals using rank reduction techniques. In: Proc 21st Asilomar Conf.
  • 44,Peleg S. Estimation and classification of polynomial-phase signals. IEEE Trans IT, 1991,37(2):422~430
  • 55,Peleg S, Friedlander B. The discrete polynomial-phase transform. IEEE Trans SP, 1995,45(8):1901~1914

同被引文献13

  • 1沈显祥,叶瑞青,唐斌,杨建宇.基于欠采样的宽带线性调频信号参数估计[J].电波科学学报,2007,22(1):43-46. 被引量:17
  • 2H Liang, X Li, X G Xia. Adaptive Frequency Estimation with Low Sampling Rates Based on Robust Chinese Remainder Theorem and IlR Notch Filter [ C ]. 1CIEA 2009, 4th IEEE Conference, 2009. 2999 - 3004.
  • 3X Li, H Liang, X G Xia. A robust Chinese remainder theorem with its applications in frequency Estimation from undersampled waveforms [ C ]. IEEE Transactions on Signal Processing, 2009,57 (11) :4314 -4322.
  • 4X G Xia, G Wang. Phase unwrapping and a robust Chinese remainder theorem[ C ]. IEEE Signal Processing Letters, 2007,14 (4) : 247 -250.
  • 5G Li, J Xu, Y N Peng, X G Xia. An efficient implementation of robust phase - unwrapping algorithm[ C ]. IEEE Signal Processing Letters, 2007,14 ( 6 ) :393 - 396.
  • 6P. A. Petcher, S. Dixon. A modified Hough transform for removal of direct and reflected surface waves from B-scans[J]. NDT and E International, 2011,44 (2) : 139-144.
  • 7V Namias. The Fractional Order Fourier Transform and Its Application to Quantum Mechanics[J]. J last Math Appl, 1980(25) : 3084-3091.
  • 8梁红,刘劲波.一种混响中高速运动目标检测方法[J].鱼雷技术,2009,17(5):44-47. 被引量:3
  • 9逄勃,范广伟.分数阶傅里叶变换在雷达多目标检测和参数估计中的应用[J].雷达与对抗,2010,30(1):23-26. 被引量:2
  • 10陈小龙,关键,郭海燕,黄勇.基于WPT-FRFT的微弱动目标检测及性能分析[J].雷达科学与技术,2010,8(2):139-145. 被引量:8

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