常规雷达飞机回波的分形建模与目标分类研究  

Research on Fractal Modeling of Aircraft Echoes and Classification of Targets in Conventional Radars

作　　者：李秋生[1] 刘小燕[1] 陈建萍[1] 

机构地区：[1]赣南师范学院物理与电子信息学院,江西赣州341000

出　　处：《赣南师范学院学报》2015年第3期34-39,共6页Journal of Gannan Teachers' College(Social Science(2))

基　　金：国家自然科学基金资助项目(61271107);江西省教育厅科学技术研究项目(GJJ14658)

摘　　要：作为一类复杂目标,飞机的非刚体颤动、姿态角变化以及机上活动部件的旋转都将对低分辨雷达回波产生复杂的非线性调制,对回波进行分形建模可以对产生回波结构的动力学特征进行精细刻画.在对实测飞机回波数据进行分形判定和无标度区间估计的基础上,对回波的分形参数进行估计和分析,并对回波分形特征在飞机目标分类识别中的应用进行探讨.研究结果表明,低分辨雷达飞机目标回波具有明显的分形特性,分形测度分析可以揭示其动力学演化机制,并且其分形特征可以有效用于飞机目标的分类和识别.As a kind of complex targets, the nonrigid vibration of an aircraft as well as its attitude change and the rotation of its ro- tating parts will induce complex nonlinear modulation on its echo from low-resolution radars. If one performs the fractal analysis of measures on an aircraft echo, it may offer a fine description of the dynamic characteristics which induce the echo structure. On basis of judging the fractal characteristics of real recorded aircraft echo data as well as estimating their non scale intervals, the paper estimates the echo fraetal parameters, pedbrms the analysis, and investigates the application of echo fractal characteristics in aircraft target clas- sification. The analysis results show that aircraft echoes from low-resolution radars have clear fractal characteristics, and the fractal a- nalysis of measures can reveal their dynamic evolution mechanism. The classification results indicate that fractal features of aircraft ech- oes can be applied to target classification and recognition effectively.

关 键 词：低分辨雷达 非线性调制 分形 特征提取 目标识别 

分 类 号：TN957.51[电子电信—信号与信息处理]