School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0250, USA.
J Acoust Soc Am. 2010 Feb;127(2):920-30. doi: 10.1121/1.3273894.
A model-based algorithm is presented that adaptively estimates in situ ultrasonic guided wave system parameters. Dispersion curves, propagation loss, transducer distances, transmitted signal, and mode weighting coefficients are estimated using minimal a priori information and assumptions. The five-part algorithm is scalable to accommodate two or more receivers and one or more propagating modes, provided that mode separation can be achieved prior to use of the algorithm. Algorithmic performance is demonstrated on signals obtained both from theoretical dispersion curves and finite element modeling. Quantitative performance curves are presented that are based on algorithmic performance from multiple simulated test cases with varying amounts of additive noise. Results show excellent agreement between estimated and actual parameters, as well as between modeled and received signals.
提出了一种基于模型的算法，该算法自适应地估计原位超声导波系统参数。使用最少的先验信息和假设来估计频散曲线、传播损耗、换能器距离、传输信号和模式加权系数。该五部分算法可扩展到两个或多个接收器和一个或多个传播模式，前提是在使用算法之前可以实现模式分离。算法性能在从理论频散曲线和有限元建模获得的信号上得到了验证。根据具有不同附加噪声量的多个模拟测试案例的算法性能，提出了定量性能曲线。结果表明，估计参数与实际参数之间以及模型化信号与接收信号之间具有极好的一致性。
