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一种新的多线性调频信号时频表示 被引量:2

A New Kind of Time-Frequency Representation for Multi-LFM Signals
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摘要 本文提出了一种用于多线性凋频信号时频表示的方法.首先由Radon-Ambiguity变换设计出线状核函数,以去除噪声和多线性调频信号之间的交叉项在模糊域中的影响,再通过二维傅立叶变换得到一种新的时频表示.仿真实验证明了此方法可以有效的去除噪声和多信号之间交叉项的影响,在低信噪比下也十分有效. A method for multi-LFM signals time-frequency representation is proposed. Firstly, we use the Radon-Ambiguity transform to get the linear kernel function, which can remove the cross terms of multi-LFM signals and some part of noise in the ambiguity domain.Then we use the two-dimensional Fourier transform to get the new time frequency representation. The validity of removing noise and cross terms of this method has been shown by computer simulation even in low signal to noise ratio condition.
出处 《电子学报》 EI CAS CSCD 北大核心 2002年第12期1879-1881,共3页 Acta Electronica Sinica
基金 国家973重点基础研究发展规划项目(No.973-1-2-1)
关键词 时频表示 线性调频信号 RADON-AMBIGUITY变换 核函数 模糊函数 噪声 LFM Radon-ambiguity transform kernel function ambiguity function
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  • 1Baraniuk R G,Jones D L.An adaptive optimal-kernel timefrequency representation[J].IEEE Trans Signal Processing,1995,43(10):2361 -2371.
  • 2Barbarossa S,Scaglione A,Giannakis G B.Product high-order ambiguity function for multicomponent polynomialphase signal modeling[J].IEEE Trans Signal Processing,1998,46(3):691-708.
  • 3Zhou G T,Ikram M Z.Unsupervised detection and parameter estimation of multicomponent sinusoidal signal in noise[A].Proceeding of the 34th Asilomar Conference on Signals,Systems and Computers[C].Pacific Grove,CA:IEEE,Inc,2000.842-846.
  • 4Ozdemir A K,Arikan O.Fast computation of the ambiguity function and the wigner distribution on arbitrary line segments[J].IEEE Trans Signal Processing,2001,49(2):381 -393.
  • 5Baraniuk R G,Jones D L.A signal-dependent time-frequency representation:fast algorithm for optimal kernel design[J].IEEE Trans Signal Processing,1994,42 (1):134-146.
  • 6Hlawatsch F,Boudreaux-bartels G F.Linear and quadratic time-frequency signal representations[J].IEEE Signal Processing Magazine,1992,9 (2):21-67.
  • 7Choi H I,Williams W J.Improved time-frequency representation of multicomponent signals using the exponential kernels[J].IEEE Trans Signal Processing,1989,37 (6):862-871.
  • 8Zhao Y,Atlas L E,Marks Ⅱ R J.The use of cone shaped kernels for generalized time-frequency representation of nonstationary signals[J].IEEE Trans Signal Processing,1990,38(6):1084 -1091.
  • 9Barkat B,Boashash B.A high-resolution quadratic time-frequency distribution for multicomponent signal analysis[J].IEEE Trans Signal Processing,2001,49(10):2232 -2239.
  • 10Ristic B,Boashash B.Kernel design for time-frequency signal analysis using radon transform[J].IEEE Trans Signal Processing,1993,41 (5):1996-2008.

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