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LFM信号时间-调频斜率分布交叉项抑制方法 被引量：1

Elimination of cross terms of time-frequency rate distribution of LFM signals
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摘要 分析了多线性调频信号的时间-调频斜率分布的交叉项,导出了交叉项的数学表达式,结合线性调频信号的特点,提出用Radon变换的交叉项抑制的方法,该方法具有运算量小的特点。仿真表明该方法能滤除绝大部分交叉项和噪声,且能用于低信噪比的场合。 The cross terms of time-frequency slope distribution of a multiple linear frequency modulated（MLFM） signal are analyzed.Analytical expresses of the cross terms are derived.Based on the properties of the MLFM signal,the Radon transformation is proposed to suppress the cross terms.Compared to other approaches,the proposed method has low computational load.Computer simulation results demonstrate that large amount of cross terms and noise are suppressed and the proposed method works for low SNR scenario.
作者 杜雨洺 杨建宇
机构地区 成都信息工程学院电子工程学院 电子科技大学电子工程学院
出处 《系统工程与电子技术》 EI CSCD 北大核心 2010年第2期229-231,共3页 Systems Engineering and Electronics
关键词 线性调频信号 时间-调频斜率分布 交叉项抑制 RADON变换 LFM signal time-frequency rate distribution cross terms elimination Radon transformation
分类号 TN959.1 [电子电信—信号与信息处理]
  • 相关文献

参考文献7

  • 1O'Shea P. A fast algorithm for estimating the parameters of a quadratic FM signal[J]. IEEE Trans. oll Signal Processing, 2004,52(2) :385 - 393.
  • 2杜雨洺,杨建宇.基于时间-调频斜率分布的多线性调频信号检测与参数估计[J].电子与信息学报,2007,29(3):631-634. 被引量：8
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二级参考文献6

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共引文献7

同被引文献16

  • 1杜雨洺,杨建宇.基于时间-调频斜率分布的多线性调频信号检测与参数估计[J].电子与信息学报,2007,29(3):631-634. 被引量：8
  • 2Tao R, Feng Y, and Wang Y. Theoretical and experimental study of a signal feature extraction algorithm for measuring propeller acceleration in a port surveillance system[J]. IET Radar, Sonar & Navigation, 2011, 5(2): 172-181.
  • 3Chen G H, Ma S W, Qin T H, et al.. Geometry- information-aided efficient motion parameter estimation for moving-target imaging and location[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(1): 155-159.
  • 4Zeng D, Zeng X, and Tang B. Automatic modulation classification of radar signals using the Rihaczek distribution and Hough transform[J]. IET Radar, Sonar & Navigation, 2012, 6(5): 322-331.
  • 5Miah K and Potter D. Geophysical signal parameterization and filtering using the fractional Fourier transform[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(3): 845-852.
  • 6Wu L, Wei X Z, Yang D G, et al.. ISAR Imaging of targets with complex motion based on discrete chirp Fourier transform for cubic chirps[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(10): 4201-4212.
  • 7Peter O. A fast algorithm for estimating the parameters of a quadratic FM signal[J]. IEEE Transactions on Signal Processing, 2004, 52(2): 385-393.
  • 8Maree F and Peter O. Extending the performance of the cubic phase function algorithm[J]. IEEE Transactions on Signal Processing, 2007, 55(10): 4767-4774.
  • 9牛萌,李钊,朱晓光,李建军.LFM信号参数估计的最大似然改进算法[J].无线电通信技术,2009,35(3):59-61. 被引量：4
  • 10李利,司锡才,张雯雯,柴娟芳.改进的多分量LFM信号参数估计算法及其快速实现[J].系统工程与电子技术,2009,31(11):2560-2562. 被引量：11

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系统工程与电子技术
2010年 第2期

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