多分量二维线性调频信号瞬时频率变化率估计

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (5): 1001-1006.

• 电子技术 • 下一篇

多分量二维线性调频信号瞬时频率变化率估计

张坤雷, 王树勋, 曹凡

吉林大学通信工程学院, 吉林, 长春, 130022

收稿日期:2008-01-11 修回日期:2008-06-10 出版日期:2009-05-20 发布日期:2010-01-03
作者简介:张坤雷(1983- ),男,博士研究生,主要研究方向为四元数理论,高阶统计量理论.E-mail;zhangkunlei88@yahoo.com.cn
基金资助:
国家自然科学基金(60572069);教育部博士学科点专项基金(20050183073)资助课题

Instantaneous frequency rate estimation of multicomponent two-dimensional chirp signals

ZHANG Kun-lei, WANG Shu-xun, CAO Fan

Inst. of Communication Engineering, Jilin Univ., Changchun 130022, China

Received:2008-01-11 Revised:2008-06-10 Online:2009-05-20 Published:2010-01-03

摘要/Abstract

摘要： 针对多分量二维线性调频信号的瞬时频率变化率估计问题,提出了一种新方法.定义了二维线性调频信号的二维三次相位函数CPF.通过分析可知,应用二维CPF方法处理多分量二维线性调频信号时,会由于交叉干扰项的存在而产生伪峰,接着借助于二维CPF构造了二维三次相位函数乘积项PCPF.应用该方法可以在较低信噪比下,准确地估计出多分量二维线性调频信号的瞬时频率变化率.仿真实验验证了该方法的有效性.

Abstract: For the problem of the instantaneous frequency rate estimation of multicomponent two-dimensional(2-D) chirp signals,a new method is presented.The 2-D cubic phase function(CPF) is defined,which is efficient to estimate the parameters of monocomponent 2-D chirp signals.However,when the 2-D CPF is applied to deal with multicomponent 2-D chirp signals,the spurious peak can arise from the existing of cross terms.And then the definition of the 2-D product cubic phase function(PCPF) is given.Using 2-D PCPF,the instantaneous frequency rate of 2-D chirp signals under low SNR can be estimated accurately.The simulation examples demonstrate the effectiveness of the proposed method.

中图分类号:

TN911.72

张坤雷, 王树勋, 曹凡. 多分量二维线性调频信号瞬时频率变化率估计[J]. Journal of Systems Engineering and Electronics, 2009, 31(5): 1001-1006.

ZHANG Kun-lei, WANG Shu-xun, CAO Fan. Instantaneous frequency rate estimation of multicomponent two-dimensional chirp signals[J]. Journal of Systems Engineering and Electronics, 2009, 31(5): 1001-1006.

参考文献

[1] Hlawatsch F,Boudreaux-Bartels G F.Linear and quadratic time-frequency signal representations[J].IEEE SPIE Mag,1992(9):21-267.
[2] 邵智超,吴彦鸿,贾鑫.基于时频分析的LMF信号检测参数估计[J].装备技术指挥学院学报,2004,15(2):71-75.
[3] Abotzoglou T.Fast maximum likelihood joint estimation of frequency and frequency rate[J].IEEE Trans.on Acoust.Speech Signal Processing,1986,22:708-715.
[4] 张容权,杜雨,杨建宇.一种LMF信号最大似然估计模型与参数快速估计算法[J].电波科学学报,2005,20(5):651-655.
[5] Djuric P M,Kay S M.Parameter estimation of chirp signals[J].IEEE Trans.on Signal Processing,1990,38:2118-22126.
[6] Xia X G.Discrete Chirp-2Fourier transform and its application to chirp rate estimation[J].IEEE Trans.on Signal Processing,2000,48:3122-3133.
[7] Peleg S,Friedlander B.Muhicomponent signal analysis using the polynomial-phase transform[J].IEEE Trans.on Aerospace Electron.Syst.,1996,32:378-387.
[8] 李靖,王树勋,汪飞.基于多项式变换的自适应Chirp信号参数估计[J].吉林大学学报(工学版),2004,32(4):617-621.
[9] Wang M,Chan A K,Chui C K.Linear frequency-modulated signal detection using radon-ambiguity transform[J].IEEE Trans.on Signal Processing,1998,46:571-586.
[10] Almeida L B.The fractional Fourier transform and time-frequency representations[J].IEEE Trans.on Signal Processing,1994,42:3084-3091.
[11] Maragos P,Kaiser J F,Quatieri T F.On amplitude and frequency demodulation using energy operators[J].IEEE Trans.on Signal Processing,1993(4):1532-1549.
[12] Bovik A C,Maragos P,Quatieri T F.AM-FM frequency detection and separaten in noise using multiband energy operators[J].IEEE Trans.on Signal Processing,1993:3245-3265.
[13] Havlicek J P,Bovik A C.Multi-component AM-FM image models and wavelet-based demodulation with component tracing[C]//IEEE International Conference on Image Processing,1993:41-45.
[14] Benjamin F,Joseph M F.An estimation algorithm for 2-D Polynomial Phase Signals[J].IEEE Trans.on Image Processing,1996,5(6):1084-1087.
[15] Joseph M F,Benjamin F.Optimal parameter selection in the phase differencing algorithm for 2-D phase estimation[J].IEEE Trans.on Signal Processing,1999,47(1):273-279.
[16] Joseph M F,Benjamin F.Two-dimensional polynomial phase signal:parameter estimation and bounds[J].Multidim.Syst.Signal Processing,1998(9):173-206.
[17] Joseph M F,Benjamin F.Parameter estimation of 2-D random amplitude polynomial-phase signals[J].IEEE Trans.on Signal Processing,1999,47(7):1795-1810.
[18] Cao Fan,Wang Shuxun,Wang Fei.Cross spectral method based on 2-D cross polynomial transform for 2-D chirp signal parameter estimation[C]//8th International Con ference on Signal Processing,2006:190-193.
[19] 曹凡,王树勋,陈巧霞.基于四阶累积量的线性调频信号参量估计[J].系统工程与电子技术,2007,29(9):1441-1444.(Cao Fan,Wang Shuxun,Chen Qiaoxia.Parameter estimation of chirp signal based on fourth-order cumulant[J].Systems Engineering and Electronics,2007,29(09):1441-1444.)
[20] Shea P O.A fast algorithm for estimating the parameters of a quadratic FM signal[J].IEEE Trans.on Signal Processing,2004,52:385-393.
[21] Wang Pu,Yang Jianyu.Muhicomponent chirp signals analysis using product cubic phase function[J].Digital Signal Processing,2006,16:654-669.
[22] Ikram M Z,Zhou G T.Estimation of multicomponent polynomial phase signals of mixed orders[J].Signal Processing,2001,81:2293-2308.

多分量二维线性调频信号瞬时频率变化率估计

Instantaneous frequency rate estimation of multicomponent two-dimensional chirp signals

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