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。
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.
作者
刘舒宁
邓锴
王长红
LIU Shuning;DENG Kai;WANG Changhong(University of Chinese Academy of Sciences,Beijing 100049,China;Institute of Acoustics,Chinese Academy of Sciences,Beiing 100190,China;Beijing Engineering Technology Research Center of Ocean Acoustic Equipment,Beijing 100190,China)
出处
《应用声学》
CSCD
北大核心
2021年第4期532-539,共8页
Journal of Applied Acoustics
基金
国家重点研发计划项目(2017YFC0405702-2,2018YFF01013401)。
关键词
多普勒测速
复协方差算法
压缩感知
Doppler velocimetry
Complex covariance algorithm
Compressed sensing
