基于雷达距离象序列的循环神经网络飞机目标识别
AIRCRAFT TARGET RECOGNITION BASED ON RADAR RANGE PROFILE SEQUENCES USING RECURRENT NEURAL NETWORK
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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。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.
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