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基于雷达距离象序列的循环神经网络飞机目标识别
引用本文:肖怀铁,庄钊文,郭桂蓉.基于雷达距离象序列的循环神经网络飞机目标识别[J].电子与信息学报,1998,20(3):386-391.
作者姓名:肖怀铁  庄钊文  郭桂蓉
作者单位:国防科技大学电子工程学院,国防科技大学电子工程学院,国防科技大学电子工程学院 长沙 410073,长沙 410073,长沙 410073
摘    要:本文应用雷达目标瞬态高分辨距离象序列来识别目标,提出了一种基于距离象序列的实时循环神经网络分类方法,并进行了三类飞机目标的分类实验研究,结果表明,该方法可以得到高的识别率。

关 键 词:雷达距离象  序列  循环神经网络  目标识别
收稿时间:1997-1-6
修稿时间:1997-8-1

AIRCRAFT TARGET RECOGNITION BASED ON RADAR RANGE PROFILE SEQUENCES USING RECURRENT NEURAL NETWORK
Xiao Huaitie,Zhuang Zhaowen,Guo Guirong.AIRCRAFT TARGET RECOGNITION BASED ON RADAR RANGE PROFILE SEQUENCES USING RECURRENT NEURAL NETWORK[J].Journal of Electronics & Information Technology,1998,20(3):386-391.
Authors:Xiao Huaitie  Zhuang Zhaowen  Guo Guirong
Affiliation:Dept. of E. E.,National University of Defence Technology Changsha 410073
Abstract:In this paper,the temporary high resolution radar target range profile sequences were used to identify aircraft targets, and a real time recurrent neural network classification method was proposed based on range profile sequences.The experiments of classification of three kinds of aircraft targets were performed, and demostrated that there were high classification performance using the proposed method.
Keywords:Radar range profiles  Sequence  Recurrent neural network  Target recognition
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