Page 252 - 应用声学2019年第4期
P. 252
第 38 卷 第 4 期 Vol. 38, No. 4
2019 年 7 月 Journal of Applied Acoustics July, 2019
⋄ 李启虎院士八十华诞学术论文 ⋄
快速正交搜索算法在水声信号处理中的应用 ∗
盛斯雨 3 郭 微 3 付金山 1,2,3† 朴胜春 1,2,3
(1 哈尔滨工程大学 水声技术重点实验室 哈尔滨 150001)
(2 海洋信息获取与安全工信部重点实验室 (哈尔滨工程大学) 工业和信息化部 哈尔滨 150001)
(3 哈尔滨工程大学水声工程学院 哈尔滨 150001)
摘要 信号的谱估计技术作为一种十分重要且应用广泛的信号分析处理手段,对其性能的不断提升和改进一
直是水声信号处理领域研究的重点和热点。对此,该文将快速正交搜索算法应用于水声信号的谱估计中,通过
隐式正交对参数进行搜索,实现对信号频率、幅度、相位的估计。仿真和实验数据处理结果表明,相较于传统的
谱估计方法,该方法能稳定且准确地估计水声信号的多个参数,获得频率分辨率较高的谱估计结果。
关键词 快速正交搜索,谱估计,高分辨率
中图法分类号: O429 文献标识码: A 文章编号: 1000-310X(2019)04-0712-08
DOI: 10.11684/j.issn.1000-310X.2019.04.031
Application of fast orthogonal search algorithm in underwater acoustic
signal processing
SHENG Siyu 3 GUO Wei 3 FU Jinshan 1,2,3 PIAO Shengchun 1,2,3
(1 Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China)
(2 Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of
Industry and Information Technology, Harbin 150001, China)
(3 College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China)
Abstract As a very important and widely used signal analysis and processing method, spectrum estimation
technology has been the focus and hot spot in the field of underwater acoustic signal processing. In this paper,
the fast orthogonal search algorithm is applied to the spectrum estimation of underwater acoustic signals. The
parameters are searched by implicit orthogonal method to estimate the frequency, amplitude and phase of
the signal. The simulation and experimental data processing results show that compared with the traditional
spectral estimation method, this method can estimate many parameters of underwater acoustic signal stably
and accurately, and obtain the spectral estimation results with high frequency resolution.
Key words Fast orthogonal search, Spectral estimation, High resolution
2019-02-14 收稿; 2019-03-25 定稿
国家自然科学基金项目 (11474073)
∗
作者简介: 盛斯雨 (1995- ), 女, 黑龙江哈尔滨人, 硕士研究生, 研究方向: 水声信号的时频分析、方位估计等。
† 通讯作者 E-mail: fujinshan@hrbeu.edu.cn