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。
Line-spectrum detection is one of the important research directions of underwater target recognition. In view of the demand of the ship radiated noise signal’s detection and extraction, a kind of noise reduction processing method based on variational mode decomposition (VMD) and symmetrical correlation is put forward in this paper, and the de-noising method of additive Gaussian noise unrelated to target line-spectrum signal is also studied. Suppose that ship radiated noise except line-spectrum composition is Gaussian noise, the line-spectrum composition of the ship radiated noise has been detected. It is showed that the method proposed in this paper is able to better detect line-spectrum composition in additive Gaussian noise background based on theoretical derivation, simulation results and experimental data processing results, which is more effective than traditional correlation method.
作者
郭政
胡长青
GUO Zheng;HU Changqing(Shanghai Acoustics Laboratory,Chinese Academy of Sciences,Shanghai 201815,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《应用声学》
CSCD
北大核心
2019年第4期734-741,共8页
Journal of Applied Acoustics
关键词
舰船辐射噪声
变分模态分解
对称相关
线谱检测
Ship radiated noise
Variational mode decomposition
Symmetrical correlation
Line-spectrum detection
