摘要
针对主动声呐中回波信号特征提取困难的问题,提出了一种利用降噪自编码器与卷积降噪自编码器相结合的自编码器算法。首先利用降噪自编码器在信号整体上的降噪优势,对含噪信号进行预处理;然后结合卷积降噪自编码器对信号局部特征的优化,对信号进行局部降噪,从而实现信号增强。所提算法直接以接收信号的时域波形作为特征输入,保留了信号的幅度与相位特征。实验结果表明,所提算法不仅有效降低了信号中的噪声分量,而且在时域和频域上均达到了较好的恢复效果。
Aiming at the difficulty of feature extraction of echo signal in active sonar,a self-encoder algorithm based on the combination of denoising self-encoder and convolution denoising self-encoder was proposed.Firstly,the preprocessing of noisy signal was carried out by using the advantage of denoising self-encoder in signal as a whole,and then the local feature of signal was optimized by combining convolutional denoising self-encoder to denoise the signal locally,so as to enhance the signal.The time domain waveform of the received signal is used as the feature input by the algorithm,and retains the signal's amplitude and phase characteristics.The experimental results show that the algorithm not only effectively reduces the noise component in the signal,but also achieves better recovery effect in both time and frequency domains.
作者
殷敬伟
罗五雄
李理
韩笑
郭龙祥
王建峰
YIN Jingwei;LUO Wuxiong;LI Li;HAN Xiao;GUO Longxiang;WANG Jianfeng(College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China;China Institute of Marine Technology and Economy,Beijing 100081,China)
出处
《通信学报》
EI
CSCD
北大核心
2019年第10期119-126,共8页
Journal on Communications
基金
国家自然科学基金资助项目(No.51779061)
霍英东教育基金资助项目(No.151007)
黑龙江省杰出青年科学基金资助项目(No.JC2017017)~~
关键词
线性调频信号
降噪自编码器
卷积降噪自编码器
信号增强
LFM
denoising automatic-encoder
convolution denoising automatic-encoder
signal enhancement
