In this paper, an aircraft target automatic classifier based on real time recurrent neural network algorithm is proposed under the wide band fully polarized high range resolution radar. This new neural network classifier is applied to the classification of five types of aircraft targets. The result demonstrates the feasibility of using recurrent neural networks for aircraft target recognition.
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肖怀铁,庄钊文,郭桂蓉.基于递归神经网络的飞机目标识别方法. Aircraft Target Recognition Based on Recurrent Neural Network[J].国防科技大学学报,1997,19(4):48-53.