现代电子技术2025，Vol.48Issue(9)：49-53,5.DOI:10.16652/j.issn.1004-373x.2025.09.008
基于多元宇宙优化算法的超声信号估计方法
Ultrasonic signal estimation based on multi-verse optimization algorithm
摘要
Abstract
It is difficult to estimate the echo transit time of weak ultrasonic detection signals in ultrasonic non-destructive testing,so a method for the ultrasonic detection signal transit time parameter estimating based on the multi-verse optimization(MVO)algorithm is proposed.A Gaussian convolution model of the ultrasonic signals was established,and the problem of transit time parameter estimation was transformed into a function optimization problem.And then,the MVO algorithm was applied to solve the objective function,thereby achieving accurate estimation of the transit time parameters.The simulation and experimental results show that the mean square error(MSE)and estimated signal-to-noise ratio(ESNR)of the proposed method for estimating parameters of weak ultrasonic detection signals with an SNR of-10 dB were 0.000 3 and 7.824 1,respectively.This processing result is significantly superior to those obtained with wavelet transform and empirical mode decomposition(EMD)methods,which can realize accurate estimation of the transit time parameters.关键词
多元宇宙优化算法/高斯卷积模型/超声信号处理/超声检测/余弦相似度/渡越时间Key words
multi-verse optimization algorithm/Gaussian convolution model/ultrasonic signal processing/ultrasonic testing/cosine similarity/transit time分类
信息技术与安全科学引用本文复制引用
王大为,高新怡,解郁欣,李尚璋,敖博..基于多元宇宙优化算法的超声信号估计方法[J].现代电子技术,2025,48(9):49-53,5.基金项目
国家自然科学基金项目(62201332) （62201332）
山西省基础研究计划(20210302124028) （20210302124028）
