雷达海上机动目标高分辨稀疏分数阶模糊函数检测方法  

Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function

作　　者：于晓涵 陈小龙 关键 黄勇 YU Xiaohan;CHEN Xiaolong;GUAN Jian;HUANG Yong(Naval Aviation University,Yantai 264001,China)

机构地区：[1]海军航空大学

出　　处：《通信学报》2019年第8期72-84,共13页Journal on Communications

基　　金：国家自然科学基金资助项目(No.61871391,No.U1633122,No.61871392,No.61531020);国防科技基金资助项目(No.2102024);山东省高校科研发展计划基金资助项目(No.J17KB139);中国科协“青年人才托举工程”专项经费基金资助项目(No.YESS20160115)~~

摘　　要：针对复杂海洋背景中高机动目标的快速检测问题,提出了一种基于稀疏分数阶模糊函数(SFRAF)的雷达目标检测算法,所提算法在瞬时自相关函数计算后引入稀疏傅里叶变换(SFT),结合了SFT和分数阶模糊函数(FRAF)的优势,因此,SFRAF对高机动信号具有较好的处理效果,同时能够获得较低的计算复杂度。仿真实验和实测数据处理结果表明,相比于经典检测方法,所提方法能够明显改善机动目标的检测性能,而相比于FRAF,所提方法能够实现检测效率的有效提升。To solve the problem of fast detection of high maneuvering targets in complex ocean background,a radar target detection algorithm via sparse fractional ambiguity function(SFRAF)was proposed.The sparse Fourier transform(SFT)was introduced after instantaneous autocorrelation function calculation,which combines the advantages of SFT and fractional ambiguity function(FRAF).Therefore,SFRAF has good processing performance on high maneuvering signals and can achieve lower computational complexity.The simulation experiments and the measured data processing results show that compared with classical detection method,the detection performance of maneuvering target can be significantly improved,and compared with FRAF,the proposed method can achieve higher detection efficiency.

关 键 词：海上动目标检测 高阶相位信号 稀疏傅里叶变换 稀疏分数阶模糊函数 

分 类 号：TN957.51[电子电信—信号与信息处理]