基于Radon模糊图变换的数字采样信号快速调频参数估计  

Fast Estimation Algorithm of Frequency Modulation Parameters of Digital Sampling Signals via Radon-ambiguity Transform

作　　者：李文臣[1] 王雪松[1] 李盾[1] 王国玉[1] 

机构地区：[1]国防科技大学电子科学与工程学院,湖南长沙410073

出　　处：《信号处理》2009年第5期687-691,共5页Journal of Signal Processing

基　　金：国家自然科学基金项目(60672033);国防科技大学科研计划项目(JC06-04-01)

摘　　要：Radon模糊图转换法(RAT)调频参数估计是模糊图平面过原点直线的一维搜索。RAT直接求和计算方法计算量大,很难实时计算。本文基于模型法研究数字信号RAT参数估计的快速算法,给出了多分量线性调频(LFM)信号模型、RAT模型法参数估计及多分量信号的逐次消去信号检测方法,提出了RAT模型法快速调频参数估计算法,并提出剩余展宽系数来分析调频参数估计性能,同时进行了计算量分析。数字仿真表明本算法在高/低信噪比均能很好地接近Cramer-Rao限。该方法速度快且不需要数据矩阵储存,在多分量调频参数估计中有很好的应用前景。The frequency modulation parameters estimation of Radon-ambiguity transform （RAT） is one-dimensional lines search- ing in the ambiguity plane. The computation cost of RAT is very heavy using digital summing directly, and difficult to apply in real time parameter estimation. Based on RAT model method, the fast algorithm of parameter estimation of digital signals is studied in this paper. The model of muhicomponent linear frequency modulation （LFM） signals, the parameter estimation of RAT, and multicomponent signals detection via CLEAR technology are presented. The fast algorithm of RAT model method of the discrete signals is offered, residual ex- pansion coefficient is proposed to testify the performance of parameter estimation, and computation cost is analyzed. Simulation results have evaluated that the algorithm of RAT model＇method has reached the Cramer-Rao bound on both high and low SNR. The method presents good application foreground to parameter- estimation of muhicomponent signals for high speed and low requirement of memory spaces.

关 键 词：多分量LFM信号 Radon模糊图转换法 快速算法 Cramer-Rao限 剩余展宽系数 

分 类 号：TN957[电子电信—信号与信息处理]