摘要
应用超声回波模型,对检测目标的超声回波进行模拟,在模拟过程中应用高斯与牛顿法迭代出估计参数.结果表明,该算法能以较少的迭代次数计算出向量参数,但对模型中到达时间初值设定较为敏感,这可用常规方法(互相关或小波变换、遗传算法等)解决.
The ultrasonic echo model is applied to simulate the ultrasonic echo of detection object and the Gauss-Newton iterative method is applied in the simulation process to estimate the parameters. The result shows that the algorithm can calculate the .vector parameter with few iterative times. The convergence of the algorithm is sensitive to the initial value of arrival time can be solved by some conventional methods, such as cross-correlation, wavelet transform and genetic algorithms.
出处
《陕西师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2006年第3期56-58,共3页
Journal of Shaanxi Normal University:Natural Science Edition
基金
陕西省教育厅专项科研基金资助项目(2004JK239)和(2004JK124)
关键词
超声回波模型
高斯与牛顿迭代法
超声检测
互相关
ultrasonic echo model
Gauss-Newton iterative method
ultrasonic testing
cross-correlation