无监督时频信息结合的舰船辐射噪声信号抗诱饵干扰方法  

An Anti-decoy Jamming Method of Ship-radiated Noise Signals Based on Unsupervised Time-frequency Information Fusion

作　　者：段一琛 申晓红[1] 王海燕[1] 闫永胜[1] DUAN Yichen;SHEN Xiaohong;WANG Haiyan;YAN Yongsheng(School of Marine Science and Technology,Northwestern Polytechnical University,Xi'an 710072,Shaanxi,China)

机构地区：[1]西北工业大学航海学院,陕西西安710072

出　　处：《兵工学报》2023年第9期2722-2731,共10页Acta Armamentarii

基　　金：国家自然科学基金项目(62031021)。

摘　　要：舰船辐射噪声信号是感知目标舰船的重要方式之一。诱饵信号通过模仿目标舰船辐射噪声,混淆感知系统以掩护目标舰船完成战略目标。如果可以通过对舰船辐射噪声与诱饵信号识别方式实现抗干扰,将大大提高战时敌方舰船识别效率,从而提高战术行动的效率和成功率。将抗诱饵干扰问题转化为单类分类问题,尝试采用深度学习范式给出解决方法。以此为背景,提出无监督时频信息结合的舰船辐射噪声信号抗诱饵干扰方法。构建针对舰船辐射噪声信号时域、时频域数据的对抗生成网络结构。采用对抗训练策略捕捉舰船辐射噪声信号的时域、时频域联合分布,提高模型针对舰船辐射噪声信号的表示学习能力,最终实现端到端的舰船辐射噪声信号单类分类任务。实验数据由外场实验模拟产生诱饵信号采集而来。研究结果表明:在无监督条件下的AUC值为0.84,相对于单类分类基线模型高出0.17,可以实现对舰船辐射噪声信号抗诱饵干扰。Ship radiated noise signals gives one of the important ways to perceive the target ship.Decoy signals confuse the perception system by imitating the target ship radiated noise to cover the target ship and complete the strategic goal.If anti-decoy jamming can be realized through the recognition of ship radiated noise signals and decoy signals,the efficiency of enemy ship identification in wartime can be greatly improved,so as to improve the efficiency and success rate of tactical operations.The anti-decoy jamming problem is transformed into a one-class classification problem,and the deep learning method is attempted to propose a solution.Against this background,this paper proposes an unsupervised time-frequency information fusion method for anti-decoy jamming of ship radiated noise signals.The generative adversarial network structure for the time domain and time-frequency domain data of the ship radiated noise signal is constructed.The adversarial training strategy is used to capture the time domain and time-frequency domain information of the ship radiated noise signal,which improves the representation learning ability of the model.Finally,the end-to-end one-class classification task of ship radiated noise can be realized.The experimental data are collected from the decoy signals generated by the simulation of the external field experiment.The AUC in the unsupervised condition is 0.84,which is 0.17 higher than the baseline model for one-class classification.The experimental results show that the method can achieve anti-decoy jamming for the ship radiated noise signal.

关 键 词：舰船辐射噪声 抗诱饵信号干扰 对抗生成网络 单类分类 

分 类 号：TN911[电子电信—通信与信息系统]