基于短时稀疏时频分布的雷达目标微动特征提取及检测方法  

Radar Micro-Doppler Signature Extraction and Detection via Short-time Sparse Time-frequency Distribution

作　　者：陈小龙[1] 关键[1] 于晓涵 何友[2] 

机构地区：[1]海军航空工程学院电子信息工程系,烟台264001 [2]海军航空工程学院信息融合研究所,烟台264001

出　　处：《电子与信息学报》2017年第5期1017-1023,共7页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61501487;61401495;U1633122;61471382;61531020);山东省自然科学基金(2015ZRA06052);航空基金(20162084005;20162084006;20150184003);"泰山学者"和中国科协"青年人才托举工程"专项经费资助~~

摘　　要：为有效提高强杂波及目标复杂运动特性条件下的雷达动目标探测能力,该文结合时频分布(TFD)类动目标检测和稀疏表示方法的优势,建立了短时稀疏TFD(ST-STFD)原理框架,提出短时稀疏傅里叶变换(ST-SFT)和短时稀疏分数阶傅里叶变换(ST-SFRFT)雷达动目标检测方法,并应用于海上目标微动特征提取及检测中。实测雷达数据验证表明,该方法在时间-稀疏域能够实现时变信号的高分辨低复杂度时频表示,具有运算效率高、时频分辨好、抗杂波等优点,为进一步提升雷达杂波抑制和动目标检测能力提供了新的思路和途径。In order to effectively improve radar detection ability of moving target under the conditions of strong clutter and complex motion characteristics, the principle framework of Short-Time sparse Time-Frequency Distribution （ST-TFD） is established combing the advantages of TFD-based moving target detection and sparse representation. Then, Short-Time Sparse Fourier Transform （ST-SFT） and Short-Time Sparse FRactional Fourier transform （ST-SFRFT）-based radar moving target detection methods are proposed and applied to micro-Doppler signature extraction and detection of marine target. It is verified by real radar data that the proposed methods can achieve high-resolution and low complexity TFD of time-varying signal in time-sparse domain, and has the advantages of high efficiency, good time-frequency resolution, anti-clutter, and so on. It can be expected that the proposed methods can provide a novel solution for radar clutter suppression and moving target detection.

关 键 词：动目标检测 海上目标 微多普勒 时频分布 稀疏表示 

分 类 号：TN957.51[电子电信—信号与信息处理]