基于自适应最优核时频分布理论的多分量LFM信号参数估计  

Multicomponent LFM signal parameter estimation based on adaptive optimal kernel time-frequency distribution

作　　者：芮力[1] 蒋涛[1] 王德石[1] 汤子跃[2] 

机构地区：[1]海军工程大学兵器工程系,武汉430033 [2]空军雷达学院空天基预警监视装备系,武汉430019

出　　处：《海军工程大学学报》2011年第6期91-95,共5页Journal of Naval University of Engineering

摘　　要：提出了一种基于自适应最优核时频分布(AOK TFR)理论的多分量LFM信号参数估计方法。该方法首先对信号求取模糊函数,并在模糊域采用自适应最优高斯核函数抑制交叉项,通过二维傅立叶变换得到待分析信号的时频分布,最终结合Radon变换和Clean技术实现多分量LFM信号参数的估计。仿真实验表明:该方法可以在低信噪比情况下对多分量LFM信号参数进行有效的估计。Based on adaptive optimal kernel time-frequency representation（AOK TFR）,a method was proposed for estimating the parameters of multicomponent LFM signal.This method was first used to obtain the ambiguity function of signal,and then restrain cross-components in the ambiguity domain by means of adaptive optimal Gauss kernel.The time-frequency distribution of the signal was obtained.Combined with Radon transform and ＂Clean＂ technique,the estimation of multicomponent LFM signal parameters was achieved.The simulation results show that the proposed method can effectively estimate the parameters of multicomponent LFM signal in low signal-to-noise radio condition.

关 键 词：自适应最优核 LFM信号 参数估计 

分 类 号：TN911[电子电信—通信与信息系统]