A new method for helicopter classification based on InISAR under LFMCW radar

Kai-ming Li, Yong Wu, Wang-yang Li, Yu-Xue Sun
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引用次数: 0

Abstract

Micro-Doppler effect has been referred to as the unique characteristic of radar targets for targets classification and recognition. The application of interferometric inverse synthetic aperture radar (InISAR) imaging for low-altitude targets based on linear frequency modulated continuous wave (LFMCW) radar is studied in this paper. Taking three kinds of helicopters as example, the echoes of targets are modeled and the method for echoes separation of scatterers from rotation parts and main body is presented. Then taking the interferometric processing to the echoes, three-dimensional image of the target can be obtained. By using the extracted micro-motion parameters, the classification of the three kinds of helicopters is accomplished.
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LFMCW雷达下基于InISAR的直升机分类新方法
微多普勒效应被称为雷达目标的独特特性,用于目标分类和识别。研究了基于线性调频连续波(LFMCW)雷达的干涉反合成孔径雷达(InISAR)低空目标成像的应用。以三种直升机为例,对目标回波进行建模,提出了旋转部件和主体散射体回波分离的方法。然后对回波进行干涉处理,得到目标的三维图像。利用提取的微运动参数,完成了三种直升机的分类。
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来源期刊
Advances in Engineering Education
Advances in Engineering Education Social Sciences-Education
CiteScore
2.90
自引率
0.00%
发文量
8
期刊介绍: The journal publishes articles on a wide variety of topics related to documented advances in engineering education practice. Topics may include but are not limited to innovations in course and curriculum design, teaching, and assessment both within and outside of the classroom that have led to improved student learning.
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