摘要
精确估计多层材料超声回波信号的重数在超声检测上有着要意义。将小波变换方法用于多层材料超声回波参数估计中,根据高斯模型以超声回波信号的小波变换为基础、利用智能人工蜂群算法,估计出多重超声回波信号的各个参数。采用Akaike Information Criterion(AIC)准则,对叠加的两重和三重超声回波信号的重数进行估计。仿真结果表明,本算法可以实现多重超声回波信号重数的有效估计。用实验测试获得的回波对算法的性能进行了验证,结果证明了该算法的可行性和实用性。
Estimating the number of multilayer material ultrasonic echo signals is a important problem in ultrasonic detection.The artificial intelligence bee colony algorithm is applied to estimate the parameters of ultrasonic echoes for multilayer materials,which using the wavelet transform of ultrasonic echoes based on Gaussian ultrasonic echoes model.According to the results of estimated parameters of echo signals,the Akaike information criterion(AIC)is used to estimate the number of the superimposed dual and triple ultrasonic echoes.The simulation results show that the algorithm can accurately estimate the number of multiple ultrasonic echoes.The proposed method is also verified by experimental echoes.
出处
《陕西师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2015年第1期30-35,共6页
Journal of Shaanxi Normal University：Natural Science Edition
基金
陕西省自然科学基金资助项目(2012JM1013)
西安市科技攻关资助项目(CX12166(3))
中央高校基本科研业务费专项资金项目(GK201302049)
关键词
超声回波信号
小波变换
高斯回波模型
人工智能蜂群算法
AIC准则
ultrasonic echo signals
wavelet transform
Gaussian echo model
artificial intelligence bee colony algorithm
Akaike information criterion(AIC)
