| 基于线谱特征提取的被动声纳目标识技术研究 |
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| 引用本文： | 曾庆军,王菲,黄国建,李洪瑞.基于线谱特征提取的被动声纳目标识技术研究[J].船舶工程,2001(3):50-54. |
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| 作者姓名： | 曾庆军 王菲 黄国建 李洪瑞 |
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| 作者单位： | 1. 华东船舶工业学院
2. 七一六研究所 |
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| 摘 要： | 该文针对被动声纳目标识别，着重研究了线谱特征提取方法，提出了一种自适应遗传BP算法，并用该算法训练神经网络目标分类器。经对上海上实录三类目标噪声分类识别实验结果表明，所设计的被动声纳目标识别系统具有很好的分类效果。
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| 关 键 词： | 被动声纳 目标识别 特征提取 神经网络 自适应遗传法 |
Research on Technique of Passive Sonar Target Recognition Based on Line Spectrum Feature Extraction |
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| Zeng,Qingjun,Li,Hongrui,and,others.Research on Technique of Passive Sonar Target Recognition Based on Line Spectrum Feature Extraction[J].Ship Engineering,2001(3):50-54. |
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| Authors: | Zeng Qingjun Li Hongrui and others |
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| Institution: | Zeng Qingjun Li Hongrui and others |
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| Abstract: | In this paper,feature extraction of line spectrum is studied and a novel adaptive genetic backpropagation algorithm is proposed for training neural network target classifier.At last,the classification experiment for three different classes of targets is done,results of experiment show that the passive sonar target recognition system designed in the paper has higher correct classification rate. |
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| Keywords: | Passive sonar Target recognition Feature extraction Neural network |
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