| 基于子波变换和神经网络的直升机目标识别技术 |
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| 引用本文： | 李京华,俞卞章,田福乾,李平安,施坤林.基于子波变换和神经网络的直升机目标识别技术[J].探测与控制学报,1998(1). |
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| 作者姓名： | 李京华 俞卞章 田福乾 李平安 施坤林 |
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| 作者单位： | 西安西北工业大学电子工程系 |
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| 摘 要： | 在分析直升机噪声特性的基础上，利用子波变换对直升机所辐射的噪声信号进行特征提取，并采取ＢＰ网络分类器，成功地识别了干扰背景中的直升机目标，实际数据处理的结果证明了该方法的有效性。
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| 关 键 词： | 直升机 子波变换 神经网络 特征提取 线谱 连续谱 |
Helicopter Identification Technique Based on Wavelet Transform and Neural Networks |
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| Li Jinghua,Yu Bianzhang,Tian Fuqian,Li Pingan,Shi Kunlin.Helicopter Identification Technique Based on Wavelet Transform and Neural Networks[J].Journal of Detection & Control,1998(1). |
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| Authors: | Li Jinghua Yu Bianzhang Tian Fuqian Li Pingan Shi Kunlin |
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| Abstract: | In this paper,wavelet transform is used for extracting features of its helicopter radiated noise by analyzing its acoustic signature characteristics.The helicopter is sucessfully identified from disturbing background by a BP neural network classifier.The resuit of practical target data processing shows that this method is very effective. |
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| Keywords: | helicopter wavelet transform neural network feature extraction line component of specturm continuous spectrum |
| 本文献已被 CNKI 等数据库收录！ |
