EMD for Multi-component LFM Radar Emitter Signals
-
摘要: 基于改进的经验模式分解,提出了多分量LFM雷达辐射源信号的分析方法.该方法用RBF神经网络对端点延拓削弱边界效应,将自相关函数与相关系数结合估计分量的数量,通过模式分解滤波和平均滑动消除噪声影响,以提高算法的分解精度.理论分析和实验表明,在较宽的信噪比范围内,使用该方法能够正确提取各分量信号的瞬时频率和有效地估计多分量LFM辐射源信号的分量数量.Abstract: A method for detection of multi-component LFM radar emitter signals was proposed based on empirical model decomposition(EMD).In this method,to improve decomposition precision,a forecast method of radial basis function(RBF) network is used to suppress the end effect of EMD,the correlation coefficient and auto-correlation function are used to estimate the component number of radar signals,and an EMD filter and mean value glide are used to eliminate the effects of noises.Theoretical analysis and experimental results show that this method can accurately Abstract instantaneous frequency of every component of LFM radar signals and estimate their component number.
-
Key words:
- EMD /
- multi-component LFM /
- radar emitter /
- instantaneous frequency
-
WOOD J C,BARRY D T.Radon transform of time-frequency distributions for analysis of muhicomponent signals[J].IEEE Trans.SP,1994,42(11):3166-3177.[2] WANG M,CHAN A K,CHUIC K.Linear frequency-modulated signal detection using Radon-ambiguity transform[J].IEEE Trans.SP,1998,46(3):571-586.[3] 赵兴浩,陶然,周思永,等.基于Radon-Ambiguity变换和分数阶傅里叶变换的chirp信号检测及多参数估计[J].北京理工大学学报,2003,23(3):371-374.ZHAO Xinghao,TAO Ran,ZHOU Siyong,et ul.Chirp signal detection and multiple parameter estimation using radonambiguity and fractional fourier transform[J].Transactions of Beijing Institute of Technology,2003,23(3):371-374.[4] 尉宇,孙德宝,吴江洪,等.基于WHT的多分量LFM参数估计与分离[J].系统工程与电子技术,2003,25(12):1472-1474.WEI Yu,SUN Debao,WU Jianghong,et al.Parameter estimation and separation of the multi-component LFM signal with WHT[J].Systems Engineering and Electronics,2003,25(12):1472-1474.[5] MILNE P R,PACE P E.Wigner distribution detection and analysis of FMCW and P-4 polyphase LPI wave forms[C]// Proceedings of IEEE International Conference on Acoustics,Speech,and Signal Processing.Orlando:IEEE Press,2002,4:3944-3947.[6] JEONG J AND WILLIAMS J.Kernel design for reduced interference distributions[J].IEEE Trans.on Signal Processing,1992,40(2):402-412.[7] 李家强,金荣洪,耿军平,等.基于高斯短时分数阶傅里叶变换的多分量LFM信号检测与参数估计[J].电子与信息学报,2007,29(3):570-573.LI Jiaqiang,JIN Ronghong,GENG Junping,et al.Detection and estimation of Multi-component LFM signals based on gauss short-time fractional fourier transform[J].Journal of Electronics Information Technology,2007,29 (3):570-573.[8] HUANG N E,SHEN Z,LONG S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non stationary time series analysis[J].Prec RSoc LondA,1998,454(1971):903-995.[9] 王孝通,盖强,张海勇,等.局域波自适应时频分析特性研究[J].电子学报,2005,33(12):2187-2190.WANG Xiaotong,GAI Qiang,ZHANG Haiyong,et al,Study of adaptive time-frequency analysis characteristics of the local wave[J].Acta electronica Sinica,2005,33(12),2187-2190.[10] 胡劲松,杨世锡.EMD方法基于AR模型预测的数据延拓与应用[J].振动、测试与诊断,2007,27(2):116-120.[11] COHEN L.Time-frequency analysis[M].Englewood:Prentice-Hall,1995.[12] BOASHASH B.Estimating and interpreting the instantaneous frequency of a signal-pattl:algorithms[J].Proceedings of the IEEE,1992,80(4):520-538.
点击查看大图
计量
- 文章访问数: 1574
- HTML全文浏览量: 52
- PDF下载量: 452
- 被引次数: 0