检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]西安理工大学,陕西西安710048
出 处:《微型机与应用》2017年第22期99-102,共4页Microcomputer & Its Applications
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.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.28