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作 者:孙硕 邱家兴[1] 刘振 王敬尧 王建华[2] SUN Shuo;QIU Jiaxing;LIU Zhen;WANG Jingyao;WANG Jianhua(Navy Submarine Academy,Qingdao 266000,China;The 91900 Unit of PLA,Sanya 572000,China)
机构地区:[1]中国人民解放军海军潜艇学院,山东青岛266000 [2]中国人民解放军91900部队,海南三亚572000
出 处:《电声技术》2024年第11期64-69,共6页Audio Engineering
摘 要:声呐脉冲类型是分辨目标的重要信息来源,在进行目标识别时可以将目标发射的声呐脉冲类型作为一项重要的识别特征,因此正确识别声呐脉冲类型具有重要意义。基于此,提出一种基于时频矩阵的声呐脉冲信号匹配识别方法,利用基于时频矩阵的模板匹配算法分频段识别未知脉冲信号。仿真分析结果表明,该方法相对于传统方法具有较高的准确性,能够克服多普勒效应产生的干扰,可为平台目标分类识别提供依据。The type of sonar pulse is an important source of information for distinguishing targets,and the type of sonar pulse emitted by the target can be used as an important identification feature in target recognition.Therefore,correctly identifying the type of sonar pulse is of great significance.Based on this,a sonar pulse signal matching and recognition method based on time-frequency matrix is proposed,which uses a template matching algorithm based on time-frequency matrix to identify unknown pulse signals in different frequency bands.The simulation analysis results show that this method has higher accuracy compared to traditional methods,can overcome the interference caused by Doppler effect,and can provide a basis for platform target classification and recognition.
分 类 号:TN911.23[电子电信—通信与信息系统]
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