| 基于小波变换与BP网络的舰船磁场信号检测 |
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| 引用本文： | 方石,张坚,陈朝宏. 基于小波变换与BP网络的舰船磁场信号检测[J]. 磁性材料及器件, 2011, 42(3): 56-59 |
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| 作者姓名： | 方石 张坚 陈朝宏 |
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| 作者单位： | 海军驻宜昌地区军事代表室;海军工程大学兵器工程系;中船重工集团第710所; |
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| 摘 要： | 针对水中兵器探测舰船磁场信号时信噪比较低的问题,提出了一种小波变换结合反向传播(backpropagation,BP)神经网络的检测方法.根据舰船磁场信号的时频特征,首先对信号进行小波分解,提取最后一层的低频分量,滤除高频噪声;再采用BP神经网络对低频分量进行学习,提取舰船目标特征信号.将此算法应用于船模实测实验,结果...
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| 关 键 词： | 信号检测 小波变换 神经网络 BP算法 |
Magnetic signal detection of ship based on wavelet transform and BP neural network |
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| FANG Shi,ZHANG Jian,CHEN Zhao-hong. Magnetic signal detection of ship based on wavelet transform and BP neural network[J]. Journal of Magnetic Materials and Devices, 2011, 42(3): 56-59 |
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| Authors: | FANG Shi ZHANG Jian CHEN Zhao-hong |
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| Affiliation: | FANG Shi1,ZHANG Jian2,CHEN Zhao-hong3 1.Naval Deputy office in Yichang,Yichang 443003,China,2.Department of Weaponry Engineering,Naval University of Engineering,Wuhan 430033,3.No.710 Research and Development Institute,CSIC |
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| Abstract: | Taking aim at the low SNR in detecting magnetic signal of ship,a detection algorithm based on wavelet transform and BP neural network was proposed.Based on the characteristic of magnetic signal of ship,firstly the signal was decomposed by wavelet transform,and the low frequency components in last level were taken out to filter out the high frequency noise.Then the low frequency components were processed by BP neural network to pick up characteristic signal of ship target.The results of experiment by ship mo... |
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| Keywords: | signal detection wavelet transform neural network BP algorithm |
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