快速高分辨稀疏FRFT雷达机动目标检测方法  

Radar maneuvering target detection method based on fast and high resolution sparse fractional Fourier transform

作　　者：于晓涵 陈小龙 陈宝欣 黄勇 关键 Yu Xiaohan;Chen Xiaolong;Chen Baoxin;Huang Yong;Guan Jian(Naval Aviation University, Yantai, Shandong 264001, China)

机构地区：[1]海军航空大学,山东烟台264001

出　　处：《光电工程》2018年第6期99-105,共7页Opto-Electronic Engineering

基　　金：国家自然科学基金项目(61501487;U1633122;61471382;61531020);国防科技基金项目(2102024);山东省高校科研发展计划(J17KB139);"泰山学者"和中国科协"青年人才托举工程"(YESS20160115)专项经费资助~~

摘　　要：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。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 method can provide a new way for radar moving target detection.

关 键 词：雷达信号处理 机动目标检测 稀疏傅里叶变换 稀疏分数阶傅里叶变换 稀疏时频分析 

分 类 号：TN957.51[电子电信—信号与信息处理]