文章摘要
郭政,胡长青.基于变分模态分解和对称相关的目标舰船线谱检测[J].,2019,38(4):734-741
基于变分模态分解和对称相关的目标舰船线谱检测
Target ship line-spectrum detection based on variational mode decomposition and symmetrical correlation
投稿时间:2019-02-14  修订日期:2019-06-29
中文摘要:
      线谱检测是水下目标识别中的一个重要研究方向。针对舰船辐射噪声线谱信号检测与提取的需求,该文改进提出了一种基于变分模态分解和对称相关的降噪处理方法,研究了与目标线谱信号不相关的加性高斯噪声消除办法。假设舰船辐射噪声除线谱成分外均为高斯噪声,对舰船辐射噪声中线谱成分进行检测。理论推导、仿真计算与实验数据处理结果均表明,该文提出的方法能较好地检测加性高斯噪声背景下的线谱成分,较传统的相关方法更为有效。
英文摘要:
      The line-spectrum detection is one of the more important in the underwater target recognition research direction.In view of the demand of the ship radiated noise signal’s detection and extraction, this paper puts forward a kind of noise reduction processing method based on variational mode decomposition (VMD) and symmetrical correlation, and studied the de-noising mechanism of additive gaussian noise unrelated to target line-spectrum signal. Suppose that ship radiated noise except the line-spectrum composition are gaussian noise, the line-spectrum composition of the ship radiated noise were detected. Theoretical derivation, simulation results and the experimental data processing all show that the method proposed in this paper is able to better detect line-spectrum composition in additive gaussian noise background, and more effective than traditional correlation method.
DOI:10.11684/j.issn.1000-310X.2019.04.034
中文关键词: 舰船辐射噪声,变分模态分解,对称相关,线谱检测
英文关键词: Ship radiated noise, Variational mode decomposition, Symmetrical correlation, Line-spectrum detection
基金项目:
作者单位E-mail
郭政 中国科学院声学研究所东海研究站
中国科学院大学 
945849897@qq.com 
胡长青 中国科学院声学研究所东海研究站 hchq@mail.ioa.ac.cn 
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