一种多址声呐探测波形增强检测方法  

An enhanced signal detection method for a set of multiple access sonar detection waveforms

作　　者：许彦伟[1,2] 谷浩翔 刘明刚 侯朝焕[1,2] XU Yanwei;GU Haoxiang;LIU Minggang;HOU Chaohuan(Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190;University of Chinese Academy of Sciences,Beijing 100049)

机构地区：[1]中国科学院声学研究所,北京100190 [2]中国科学院大学,北京100049

出　　处：《声学学报》2025年第2期486-499,共14页Acta Acustica

摘　　要：为了提高浅海水声环境多址声呐探测性能,提出了一种多址声呐探测波形及其增强检测方法。建立了浅海回波信道模型,生成了浅海多址声呐回波数据;将基于生成对抗网络(GAN)结构的信号增强网络与基于卷积–全连接网络结构的分类网络相结合,引入融合梯度(FG)训练方法,设计了WGAN-FG信号增强检测器;基于WGAN-FG信号增强检测器和传统卷积神经网络、循环神经网络、生成对抗网络及副本相关检测器,对浅海多址声呐回波检测性能进行了仿真分析。结果表明,基于深度学习的神经网络检测器相比传统的副本相关检测器具有更好的多径、多普勒和互干扰抑制能力,同时具备目标速度识别能力;而在神经网络检测器中, WGAN-FG信号增强检测器在强干扰或强畸变条件下表现出更优的检测性能和目标速度判别能力。To improve the detection performance of multiple access sonar in shallow water acoustic channels,a set of multiple access sonar detection waveforms and their enhanced detection method are proposed.The shallow water target echo channel is modeled and the multiple access sonar data are generated.The WGAN-FG enhanced signal detector is designed,which consists of a generate adversarial network(GAN)signal enhancer and a fully connected convolutional neural network(CNN)classifier,using the fusion gradient(FG)training method.The detection performances of shallow water multiple access sonar echoes are analyzed by simulation methods using the WGAN-FG enhanced signal detector and the traditional detectors such as the CNN,recurrent neural network(RNN),GAN and replica correlation(RC).Simulation results show that the deep learning based neural network detectors have better multi-path,Doppler and mutual interference suppression capabilities than the RC detector.The neural network detectors also have the ability to measure the target speed.And the WGAN-FG enhanced signal detector has better detection performance and target speed identification ability than the other neural network detectors under strong interference or distortion conditions.

关 键 词：信道畸变 生成对抗网络 信号增强检测 水下无人航行器 多址声呐 

分 类 号：U666.7[交通运输工程—船舶及航道工程]