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第 40 卷 第 4 期 Vol. 40, No. 4
2021 年 7 月 Journal of Applied Acoustics July, 2021
⋄ 研究报告 ⋄
压缩感知在宽带声学多普勒测速技术中的应用 ∗
刘舒宁 1,2 邓 锴 2,3† 王长红 2,3
(1 中国科学院大学 北京 100049)
(2 中国科学院声学研究所 北京 100190)
(3 北京市海洋声学装备工程技术研究中心 北京 100190)
摘要：为降低宽带声学多普勒测速技术中宽带回波信号处理系统的采样和数据存储压力，研究了压缩感知的
回波信号重构算法，并将其应用于宽带声学多普勒测速的回波信号分析中。在点回波模型下进行宽带回波信
号的仿真实验，利用复协方差法计算频移。仿真实验结果表明，在无噪声的理想条件下，利用压缩感知理论处
理宽带多普勒测速的回波信号，能够达到理想的测频效果；在相同的噪声条件下，应用压缩感知方法处理后的
回波信号能够获得与带通采样方法相当的测频效果。
关键词：多普勒测速；复协方差算法；压缩感知
中图法分类号: TN911.7 文献标识码: A 文章编号: 1000-310X(2021)04-0532-08
DOI: 10.11684/j.issn.1000-310X.2021.04.006
Application of compressed sensing in broadband acoustic
Doppler velocimetry technology
LIU Shuning 1,2 DENG Kai 2,3 WANG Changhong 2,3
(1 University of Chinese Academy of Sciences, Beijing 100049, China)
(2 Institute of Acoustics, Chinese Academy of Sciences, Beiing 100190, China)
(3 Beijing Engineering Technology Research Center of Ocean Acoustic Equipment, Beijing 100190, China)
Abstract: In order to reduce the sampling and data storage pressure of wideband echo signal processing system
in wideband acoustic Doppler velocimetry, the reconstruction algorithm of compressed sensing is studied and
applied to the echo signal analysis of wideband acoustic Doppler velocimetry. The simulation experiment of
broadband echo signal is carried out under the point echo model, and the frequency shift is calculated by
using the complex covariance method. Simulation results show that under the ideal condition of no noise,
the ideal frequency measurement performance can be achieved by using compressed sensing theory to process
the echo signal of wideband Doppler velocimetry. Under the same noise condition, the echo signal processed
by compressed sensing method can achieve the same frequency measurement performance as the bandpass
sampling method.
Keywords: Doppler velocimetry; Complex covariance algorithm; Compressed sensing
2020-10-15 收稿; 2021-04-19 定稿
国家重点研发计划项目 (2017YFC0405702-2, 2018YFF01013401)
∗
作者简介: 刘舒宁 (1996– ), 女, 山东潍坊人, 硕士研究生, 研究方向: 电子与通信工程。
† 通信作者 E-mail: dengk@mail.ioa.ac.cn
