文章摘要
左长林,许伟杰.基于循环相关熵估计海流计多普勒频移[J].声学技术,2024,43(4):474~480
基于循环相关熵估计海流计多普勒频移
Doppler shift estimation of Doppler velocimeter based on cyclic correlation entropy
投稿时间:2023-11-15  修订日期:2024-01-11
DOI:10.16300/j.cnki.1000-3630.2024.04.004
中文关键词: 海流计  多普勒频率估计  脉冲对算法  循环数据  循环相关熵
英文关键词: acoustic Doppler velocimeter  Doppler frequency estimation  pulse-pair algorithm  circular data  circular correlation entropy
基金项目:
作者单位E-mail
左长林 中国科学院声学研究所东海研究站, 上海 201815
中国科学院大学, 北京 100049 
 
许伟杰 中国科学院声学研究所东海研究站, 上海 201815 xwj@mail.ioa.ac.cn 
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中文摘要:
      声学多普勒海流计基于脉冲对算法允许非侵入式高分辨率速度测量,但在稀流和稠流环境下由于低散射和多次散射的原因,其回波信号通常信噪比较低,导致多普勒频移估计变得困难。为了更好地估计回波信号的多普勒频移,文章在脉冲对算法的基础上,引入循环域信号处理方法,并建立了最大循环相关熵算法来估计多普勒频移。根据海流计的硬件结构及其基本工作原理建立了海流计的相干散射回波仿真模型和实验样机,利用仿真数据和实验数据对脉冲对算法和最大循环相关熵算法进行测试。测试结果表明,与脉冲对算法相比,所提出的最大循环相关熵算法不仅在低信噪比时有着更好的多普勒频移估计效果,而且在瞬时速度估计方面也有很大的潜力。
英文摘要:
      Based on the pulse-pair algorithm, the acoustic Doppler velocimeter allows for non-invasive high-resolution velocity measurements. However, in dilute and thick current environments, due to low scattering and multiple scattering, the echo signal usually has a low signal to noise ratio, making Doppler frequency shift estimation difficult. In order to better estimate the Doppler frequency shift of echo signal, the signal processing technology in the circular domain is proposed on the basis of pulse-pair algorithm in this paper, and a maximum circular correlation entropy algorithm is established to estimate the Doppler frequency shift. Based on the hardware structure and basic working principle of the acoustic velocimeter, a coherent scattering echo simulation model and an experimental prototype are established. The pulse-pair algorithm and the maximum circular correlation entropy algorithm are tested by using simulation and experimental data. The results show that compared with the pulse-pair algorithm, the proposed maximum circular correlation entropy algorithm not only has better Doppler frequency shift estimation effects at low signal-to-noise ratios, but also has great potential in instantaneous velocity estimation.
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