电子学报 ›› 2022, Vol. 50 ›› Issue (2): 493-501.DOI: 10.12263/DZXB.20210515

• 科研通信 • 上一篇    下一篇

基于改进果蝇优化算法正交匹配追踪的超声信号降噪方法

董明1,2,3,4, 李敬1,4, 索永录3, 唐恩贤2, 马宏伟1,4, 陈渊4, 张广明5, 万翔1,4   

  1. 1.西安科技大学机械学院,陕西 西安 710054
    2.陕西陕煤黄陵矿业集团有限责任公司技术中心,陕西 延安 727307
    3.西安科技大学能源学院,陕西 西安 710054
    4.陕西省矿山机电装备智能监测重点实验室,陕西 西安 710054
    5.英国利物浦约翰摩尔斯大学通用工程研究所,英国 利物浦 L3 3AF
  • 收稿日期:2021-04-21 修回日期:2021-10-26 出版日期:2022-02-25 发布日期:2022-02-25
  • 作者简介:董 明 男,1984年出生,湖北恩施人.现为西安科技大学副教授,硕士生导师.主要研究方向为超声无损检测与评价、机械测试理论与技术等.E-mail: jesunatg@hotmail.com
    李 敬 男,1997年出生,陕西西安人.现为西安科技大学硕士研究生.主要研究方向为超声信号处理.E-mail: 328024342@qq.com
  • 基金资助:
    国家自然科学基金(51705418);中国博士后科学基金(2019M653696);陕西省自然科学基础研究计划陕煤联合基金(2021JLM-07);陕西省自然科学基础研究计划(2019JQ-801)

An Improved Fruit Fly Optimization Algorithm Based Orthogonal Matching Pursuit for Ultrasonic Noise Reduction

DONG Ming1,2,3,4, LI Jing1,4, SUO Yong-lu3, TANG En-xian2, MA Hong-wei1,4, CHEN Yuan4, ZHANG Guang-ming5, WAN Xiang1,4   

  1. 1.School of Mechanical Engineering,Xi’an University of Science and Technology,Xi’an,Shaanxi 710054,China
    2.Technology Center,Shaanxi Huangling Coal Mine Co. ,Ltd. ,Yan’an,Shaanxi 727307,China
    3.School of Energy Engineering,Xi’an University of Science and Technology,Xi’an,Shaanxi 710054,China
    4.Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Monitoring,Xi’an,Shaanxi 710054,China
    5.General Engineering Research Institute,Liverpool John Moores University,Liverpool L3 3AF,United Kingdom
  • Received:2021-04-21 Revised:2021-10-26 Online:2022-02-25 Published:2022-02-25

摘要:

降噪是超声信号处理的重要环节,正交匹配追踪是一种常用的降噪方法,传统正交匹配追踪算法计算量大、分解精度不高,无法提取强噪声背景下的超声信号.本文提出了一种结合果蝇优化算法和正交匹配追踪的超声信号降噪算法,将正交匹配追踪中的“贪婪”搜索转换为Gabor函数的参数优化问题,利用果蝇优化算法估计Gabor函数的最优值,采用自适应步长以提高果蝇优化算法的全局遍历性,同时引入高维广义CAT映射以跳出局部最优,最后由寻找到的最佳原子重构超声信号.为验证算法的有效性,对仿真的多频超声回波信号和实验采集的锻件试块超声回波信号进行了降噪处理,结果表明,本文提出的方法能有效提取强噪声背景下的超声信号.

关键词: 正交匹配追踪, 果蝇优化算法, 自适应步长, 高维广义CAT映射, 数字信号处理

Abstract:

Noise reduction is the key technology of ultrasonic testing whose performance affects the evaluation of ultrasonic testing results directly. Orthogonal matching pursuits(OMP) is one of the most popular methods for the purpose of noise reduction; however, OMP suffers from a number of disadvantages of high complexity and time-consuming of the atom searching, and it is unable to extract the ultrasonic signal under background of powerful noise. An improved fruit fly optimization algorithm based orthogonal matching pursuit(IFOA-OMP) for ultrasonic noise reduction method is proposed, the parameters of Gabor function are estimated by IFOA, and the global ergodicity is improved by the adaptive step function, at the same time, the high-dimensional extensive CAT map is introduced to jump out of the local optimum. Finally, the ultrasonic signal is reconstructed from the best matching atoms. In order to validate the effectiveness of the proposed method, the simulated multi frequency ultrasonic signal and the real ultrasonic signal of forging block are used. The processing results show the proposed method can accurately extract the ultrasonic signal under background of powerful noise.

Key words: orthogonal matching pursuit(OMP), fruit fly optimization algorithm(FOA), adaptive step, high-dimensional extensive CAT map, digital signal process

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