测试科学与仪器2020，Vol.11Issue(3)：222-227,6.DOI:10.3969/j.issn.1674-8042.2020.03.004
一种强噪声环境下的水声信号提取算法研究
Underwater acoustic signal extraction algorithm in a strong noise environment
摘要
Abstract
In the exploration,tracking and positioning of underwater targets,it is necessary to perform frequency domain analysis and correlation calculation on the underwater acoustic signals of the target radiation.In a strong noise environment,the target signal may be overwhelmed by noise,resulting in an inability to effectively identify the target.Aiming at this problem, this paper presents a method of signal-noise separation by combining Fourier denoising with wavelet transform to realize underwater acoustic signal extraction in a strong noise environment.The combination algorithm of Fourier coefficient threshold adjustment and wavelet threshold transform is designed,and performance of the algorithm is tested.Simulation results show that the combination algorithm can effectively extract underwater acoustic signals when signal-to-noise ratio (SNR)is -15 dB, which can improve the SNR to 8.2 dB.关键词
水声信号/信噪比/小波变换/信噪分离/阈值Key words
underwater acoustic signal/signal-to-noise ratio (SNR)/wavelet transform/signal-noise separation/threshold分类
信息技术与安全科学引用本文复制引用
常浩,杨立波,石宇轩,侯晋超..一种强噪声环境下的水声信号提取算法研究[J].测试科学与仪器,2020,11(3):222-227,6.基金项目
Applied Basic Research Project of Shanxi Province (Nos.201601D011035,201701D121067 ) （Nos.201601D011035,201701D121067 ）
Higher Education Technology Innovation Project of Shanxi Province (No.201804011) （No.201804011）
