文章摘要
刘舒宁,邓锴,王长红.压缩感知在宽带声学多普勒测速技术中的应用*[J].,2021,40(4):532-539
压缩感知在宽带声学多普勒测速技术中的应用*
Application of compressed sensing in broadband acoustic Doppler velocimetry technology
投稿时间:2020-10-15  修订日期:2021-07-05
中文摘要:
      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。
英文摘要:
      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.
DOI:10.11684/j.issn.1000-310X.2021.04.006
中文关键词: 多普勒测速  复协方差算法  压缩感知  
英文关键词: Doppler velocimetry  complex covariance algorithm  compressed sensing  
基金项目:
作者单位E-mail
刘舒宁 中国科学院大学 中国科学院声学研究所 liushuning@mail.ioa.ac.cn 
邓锴* 中国科学院声学研究所 北京市海洋声学装备工程技术研究中心 dengk@mail.ioa.ac.cn 
王长红 中国科学院声学研究所 北京市海洋声学装备工程技术研究中心 wangch@mail.ioa.ac.cn 
摘要点击次数: 798
全文下载次数: 621
查看全文   查看/发表评论  下载PDF阅读器
关闭