归一化循环相关超声回波时延估计

李新波; 石要武; 王猛; 石屹然; 朱兰香; 梁亮

doi:10.3788/OPE.20172402.0547

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归一化循环相关超声回波时延估计

信息科学 | 更新时间：2020-07-07

- 归一化循环相关超声回波时延估计
- Time-delay estimation of ultrasonic echo signal besed on normalized cyclic cross-correlation
- 光学精密工程 2017年25卷第2期页码：547-554
- 作者机构：
  
  1.吉林大学通信工程学院, 吉林长春 130022
  2.长春建筑学院电气信息学院, 吉林长春 130022
- 作者简介：
  
  [ "李新波 (1980-), 男, 吉林省吉林市人, 博士, 吉林大学通信工程学院副教授, 2002年、2005年于吉林大学分别获得学士、硕士学位, 2007年至2008年在新加坡南洋理工大学作联合培养博士生, 2009年于吉林大学获得博士学位, 主要从事阵列信号处理、时频分析方面的研究。E-mail:cinple@126.com" ]
  王猛 (1991-), 男, 河南信阳人, 2014年于中原工学院获得学士学位, 主要的研究方向阵列信号处理。E-mail:wangmeng1416@126.com WANG Meng, E-mail: wangmeng1416@126.com
- 基金信息：
  
  国家自然基金面上项目(51475198);吉林省青年科研基金项目(20140520064);中国博士后基金资助项目(2015M570270)
- DOI：10.3788/OPE.20172402.0547
  中图分类号： TN911.7
- 收稿日期：2016-07-02，
  
  录用日期：2016-9-19，
  
  纸质出版日期：2017-02-25
- 稿件说明：
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李新波, 石要武, 王猛, 等. 归一化循环相关超声回波时延估计[J]. 光学精密工程, 2017,25(2):547-554.

Xin-bo LI, Yao-wu SHI, Meng WANG, et al. Time-delay estimation of ultrasonic echo signal besed on normalized cyclic cross-correlation[J]. Optics and precision engineering, 2017, 25(2): 547-554.
李新波, 石要武, 王猛, 等. 归一化循环相关超声回波时延估计[J]. 光学精密工程, 2017,25(2):547-554. DOI： 10.3788/OPE.20172402.0547.

Xin-bo LI, Yao-wu SHI, Meng WANG, et al. Time-delay estimation of ultrasonic echo signal besed on normalized cyclic cross-correlation[J]. Optics and precision engineering, 2017, 25(2): 547-554. DOI： 10.3788/OPE.20172402.0547.

摘要

传统超声回波时延估计算法是在高斯噪声背景下展开研究的，而实际工况中超声回波不仅含有高斯噪声，还含有脉冲冲击噪声（

稳定分布噪声）等，这导致传统算法失效。为了解决上述问题，本文提出了一种针对混合噪声特别是包含噪声背景下的超声回波时延估计算法：归一化循环相关时延估计算法。首先，对归一化循环相关算法理论进行了简要的介绍。接着，对归一化循环相关时延估计算法进行了理论推导分析。然后，结合仿真分析，在相同

混合噪声情况下对传统循环相关和归一化循环相关时延估计进行比较。最后，在不同信噪比下，对归一化循环相关时延估计算法的估计性能进行了分析。通过对比实验发现，在噪声特征指数趋于1时，循环相关算法已不能估计出时延，而归一化循环相关算法的误差仍能保持在0.4

s；且在-10dB信噪比下，归一化循环相关算法时延估计也能保持在10

s误差范围内。本文所提归一化循环相关算法在混合噪声特别是包含

噪声情况下能够对超声回波时延进行精确估计，具有传统算法所不能比拟的优势。

Abstract

Traditional ultrasonic echo time-delay estimation algorithm is studied in the background of Gauss Noise

while in actual working condition ultrasonic echo includes not only Gauss Noise but also impulsive noise (

noise with stable distribution)

which will invalidate traditional algorithms. In actual application

in order to solve the above problem

a new ultrasonic echo time-delay estimation method under mixed noise

especially the background containing

noises

was proposed

called time delay estimation algorithm with normalized cyclic correlation. Firstly

a brief introduction to theory of such normalized cyclic correlation algorithm was given and a theoretical derivation analysis on such algorithm was conducted.Then

combined with simulation analysis

the performance of proposed algorithm and traditional cyclic cross-correlation algorithm were compared under the same condition. At last

the estimation performance of such normalized cyclic correlation time delay estimation algorithm was analyzed under different singal-noise ratios. Contrast test indicates that when

approaches to 1

the cyclic cross-correlation algorithm is unable to estimate the time delay

while the normalized cyclic cross-correlation algorithm still maintains the deviation at 0.4

s; and under -10dB SNR

the time delay estimated by normalized cyclic cross-correlation algorithm is also maintained within 10

s. The normalized cyclic cross-correlation algorithm proposed in the article is able to make accurate estimation of time delay of ultrasonic echo under the background of mixed noise

especially the one contains

noise

which is an incomparable advantage that traditional algorithm is unable to counteract.

关键词

Keywords

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