文章基本信息

标题：Self-affine Fractal Modelling of Aircraft Echoes from Low-resolution Radars
本地全文：下载
作者：L. Q. Sheng ; J.H. Pei ; X.Y. Liu 等
期刊名称：Defence Science Journal
印刷版ISSN：0976-464X
出版年度：2016
卷号：66
期号：2
页码：151-155
语种：English
出版社：Defence Scientific Information & Documentation Centre
摘要：For complex targets, the non rigid vibration of an aircraft as well as its attitude changes and the rotation of its rotating 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 introducing self-affine fractal theory, the paper models real recorded aircraft echo data from a low-resolution radar using the self-affine fractal representation, and investigates the application of echo self-affine fractal characteristics in aircraft target classification. Results analysis shows that aircraft echoes from low-resolution radars can be modelled by using the self-affine fractal method, and the self-affine fractal features can be effectively applied to target classification and recognition.
关键词：Low-resolution radar, self-affine fractal, echo modelling, target recognition