FRFT的简化及在空间目标探测中的应用

摘要

A method based on fractional Fourier transform (FRFT) is put forward to solve the problem of low signal-noise ratio(SNR) detection and frequency estimation for space target detection. At first the theory of parameter estimation by FRFT is introduced. Then the algorithm is reduced to decrease computing time according to the method of parameter estimation. Basd on analyzing the dynamic characteristic of the echo , the parameter of FRFT using in space target detection is designed for the demands of real-time processing and detection probability. The method of improving frequency estimation precision is proposed. The performances of target detection and frequency estimation are analyzed. The simulation results show the good performance of the method.%在空间目标探测中,提出了基于分数阶傅里叶变换(FRFT)的方法解决低信噪比下信号检测与频率估计的问题.首先介绍了FRFT进行参数估计的基本原理,并根据参数估计方法对算法进行了简化,降低运算量.在对接收到的回波信号动态特性分析的基础上,为满足信号检测概率和实时处理要求,对FRFT在空间目标检测应用中的相关参数进行分析设计,并提出频率估计精度的改善措施,进行了目标检测和频率估计性能的分析.最后进行检测性能的仿真分析,结果表明满足工程要求.