分数阶Fourier域低分辨雷达飞机回波的分形特性分析与目标分类  

Fractal characteristic analysis of aircraft echoes from low-resolution radars and target classification in fractional Fourier domain

作　　者：李秋生[1] 谢晓春[1] 朱红[1] 吴倩媛 Li Qiusheng;Xie Xiaochun;Zhu Hong;Wu Qianyuan(School of Physics&Electronic Information,Gannan Normal University,Ganzhou Jiangxi 341000,China)

机构地区：[1]赣南师范大学物理与电子信息学院,江西赣州341000

出　　处：《计算机应用研究》2018年第9期2869-2872,2876,共5页Application Research of Computers

基　　金：国家自然科学基金资助项目(61561004);赣南师范大学2015年度招标课题(15zb04);2016年国家级大学生创新训练计划资助项目

摘　　要：常规低分辨雷达体制下的目标分类与辨识是雷达目标识别领域的一个研究难点。研究表明,地、海、空等雷达杂波具有分形特性,不同类型目标会对回波分形特性产生不同的影响,但在强杂波背景下,回波的分形特性更多地表现为杂波的特性。作为一种非平稳信号分析工具,分数阶Fourier变换可以有效地获取目标回波信号的细节特征并充分抑制杂波,且具有快速算法。为此,立足于分形及其相关理论,拟从分数阶Fourier域对常规雷达飞机目标回波的分形特性进行分析,估计和分析其分形参数,并对分数阶Fourier域回波分形特征在飞机目标分类中的应用进行探讨。研究结果表明,在最优变换阶数下,分数阶Fourier域飞机目标回波具有显著的分形特性,且充分反映了目标的特性,分形测度分析可以揭示回波的动力学演化机制,且最优变换域回波分形特征可以有效用于飞机目标的分类和识别。Due to restrictions brought by the low-resolution system,target classification and recognition with low-resolution radars have not been solved effectively for a long time.Research shows that,radar clutter,such as ground clutter,sea clutter,air clutter,etc.,has fractal characteristics,and different types of targets will produce different effects on the echo fractal characte-ristic.However,in strong clutter background,the echo fractal characteristics mainly represent the characteristics of the clutter.As a kind of non-stationary signal analysis tool,fractional Fourier transform can reveal the feature details of the target echo and fully suppress the clutter,and has the fast algorithm.Therefore,this paper intended to perform characteristic analysis on aircraft echoes from low-resolution radars in fractional Fourier domain by means of the fractal analysis of measures from the view of nonlinear analysis,estimated and analyzed their fractal parameters,and investigated the application of fractional Fourier domain echo fractal features in aircraft target classification.The analysis results show that,under the optimal transform order,aircraft echoes from low-resolution radars have obvious fractal characteristics in fractional Fourier domain,which fully reflects the cha-racteristics of aircraft targets,and the fractal analysis of measures can reveal their dynamic evolution mechanism.The classification results indicate that fractal features of aircraft echoes in fractional Fourier domain can applied to classification and recognition for aircraft targets effectively.

关 键 词：低分辨雷达 分数阶FOURIER变换 分形 特征提取 目标分类 

分 类 号：TN957.51[电子电信—信号与信息处理]