基于分数阶Fourier变换的雷达目标检测算法

摘要

线性调频( LFM)信号是现代雷达系统中常用的一种重要的大时宽-带宽积信号，基于匹配滤波的数字脉压方法是LFM信号经典的信号处理方法。利用分数阶Fourier变换对LFM信号的独特聚敛性质，基于Monte-Carlo仿真分析，本文研究了基于分数阶Fourier变换的目标检测和测距方法，并与经典的脉压方法进行了对比分析，分析表明该方法的目标检测性能与匹配滤波相同，且具有运算量小、不需要存储大量滤波器系数的优点，具有一定的应用潜力。%Linear frequency modulation ( LFM) signal is an important large time-duration bandwidth product sig-nal used commonly in modern radar systems, and digital pulse compression based on matched filtering is a classical signal processing method of LFM signal. Since fractional Fourier Transform has special accumulating quality for LFM signal comparing with method of classical pulse compression. The results show that the target detection capa-bility of using this method is the same as that of using matched filtering, and it possesses advantageous like small operand and no need for a great deal of filter coefficient. The new method is potential in applications.