摘要
提出了一种用子波变换对雷达目标回波进行特征提取并用神经网络对其分类的新方法，子波变换同时起到了数据压缩作用。用此法对微波暗室中得到的雷达目标回波进行特征提取和分类，对５种飞机模型分类的平均正确率可达９８％。结果表明新方法是十分有效的。
A New method for radar target classification is proposed. The wavelets transform is used to extract the features of the radar waveform and a neural network is used asthe classifier. Here the wavelets transform also takes the place of data compression. Thismethod is tested using radar waveforms gotten from the anechoic chamber. The averagecorrect classification rate is about 98%. The result shows that this new method is very effective.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
1994年第4期9-14,共6页
Journal of Tsinghua University(Science and Technology)
关键词
子波变换
雷达目标
特征提取
分类
wavelets transform
radar target
classification
feature extraction
neuralnetwork
