摘要
针对分解型分数阶傅里叶变换(Fr FT)快速算法与实际工程应用脱节和降低LFM信号参数估计计算复杂度和精度的问题,在分析和研究分解型算法和LFM信号参数估计的基础上,提出了一种基于RAT变换和分数阶域二分法谱校正的LFM信号参数估计的方法,并在Fr FT运算中采用量纲归一化。仿真结果表明,本方法可以提高LFM信号参数估计的精度和有效降低计算复杂度,估计精度可以达到CRLB,从而证明了本方法的有效性。
Aiming at the problems that the decomposition Fr FT fast algorithm is separated from the actual engineering application and how to reduce the computational complexity and accuracy of LFM signal parameter estimation,by analysing and researching decomposition algorithm and the estimation of LFM signal parameters,this paper presents a method based on RAT transform and using division combining spectral correction technique in fractional domain to realise estimation of LFM signal parameters,which uses the dimensional normalization during the calculation of Fr FT. The simulation results show that this method can improve the precision of the estimation of LFM signal parameters and reduce the computational complexity,whose precision can reach CRLB. The simulation results prove that this method is effective.
出处
《微型机与应用》
2017年第22期99-102,共4页
Microcomputer & Its Applications
关键词
分数阶傅里叶变换
量纲归一化因子
谱校正
参数估计
fractional Fourier transform
dimensional normalization factor
spectrum correction
parameter estimation