快速高分辨稀疏FRFT雷达机动目标检测方法

摘要

With the increase of data volume and the rapid development of modern radar, more requirements are put forward for radar target detection technology. There are both advantages and limitations of classical radar detection methods. Innovative methods are urgently needed to improve the radar target detection performance under complex background and limited radar resources. The main purpose of this paper is to illustrate the implementation of sparse fractional Fourier transform (SFRFT), which is developed on the basis of sparse Fourier transform (SFT). Besides, the SFRFT algorithm is applied to radar signal processing and a SFRFT-based fast and high resolution detection method is proposed to improve the detection performance of radar maneuvering target. It is expected that the me-thod can provide a new way for radar moving target detection.%数据量的增加及新体制雷达的发展,对雷达探测技术提出了更高的要求.经典检测方法具有其优势,但同时也存在很多局限性,迫切需要创新雷达动目标检测方法以提升复杂背景和有限雷达资源条件下的雷达目标探测性能.该文介绍了稀疏傅里叶变换(SFT)的基本概念,在其基础上对稀疏分数阶傅里叶变换(SFRFT)的实现方法进行了系统描述.然后将 SFRFT 算法应用于雷达信号处理中,提出了基于快速高分辨稀疏 FRFT 的雷达机动目标检测算法,为雷达动目标探测能力的提高提供了新的思路.