摘要
为了得到水下目标的有效稳定的识别特征,本文模拟声呐员听音判型过程,分析了功率谱、Zwicker和Fastl时变响度和Glasberg和Moore时变响度提取信号结果。在此分析结果的基础上,提出了节拍响度变化量特征提取方法。仿真研究表明:该方法可以用来作为识别目标的有效特征,当2种舰船辐射噪声的载频相似而调制方式不同时,该方法的识别率可达到90%以上。实际数据处理结果验证了该方法的有效性。
This study explores the time-varying loudness of ship radiation noise signals to obtain effective and stable recognition features of underwater targets. The extraction result of the power spectrum and Zwicker and Fastl's and Glasberg and Moore's time-varying loudness are analyzed by simulating the process in which sonar listens to and judges the types of sounds. Then, the feature extraction algorithm of beat loudness variation is proposed on the basis of comparison and analysis. As for the radiation noise signals of these two kinds of ships, the recognition rate of the method can reach more than 90% when the carrier frequency is similar and the modulation mode is different. Results of actual data processing validate the proposed method.
作者
韩雪
朴胜春
付金山
HAN Xue;PIAO Shengchun;FU Jinshan(National Key Laboratory of Underwater Acoustic Technology,Harbin Engineering University,Harbin 150001,China;Key Laboratory of Marine Information Acquisition and Security In Harbin Engineering University,Ministry of Industry and Information Technology,Harbin 150001,China;College of Underwater Acoustic Engineering,Harbin 150001,China)
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2020年第4期487-492,共6页
Journal of Harbin Engineering University
基金
国家重点研发计划项目(2016YFC1400100)
国家自然科学基金项目(11234001).
关键词
舰船辐射噪声
声呐员
听觉特征
目标识别
节奏
音色
心理声学
时变响度
调制模式
ship radiation noise
sonar
audition feature
target recognition
rhythm
tone
psychoacoustics
time-varying loudness
modulation mode
