title: Model-based estimation of thin multi-layered media using ultrasonic measurements.
abstract: In ultrasonic measurement situations, when dealing with media of multi-layered structures consisting of 1 or more thin layers, analysis of the measured ultrasonic waveform can be difficult because of overlapping and reverberant echoes. Information from the individual layers is then difficult to extract because the individual echoes cannot be detected. In this study, we use a parametric layer model to analyze the multi-layered material in a system identification approach. The parameters of the model are connected to physical properties of the investigated material, e.g., the reflection coefficients, the time-of-flight, and the attenuation. The main advantage using this model is that the complexity of the model is connected to the number of layers rather than the number of observable echoes in the received ultrasonic waveform. A system of linear equations is presented, giving the opportunity to find the model for both pulse-echo and through-transmission measurements. A thorough effort is made on the parameter estimation and optimization algorithm. The model is validated with practical measurements on a 3-layered structure using both pulse-echo and through-transmission techniques. The 3-layered material consists of a thin embedded middle layer with the time-of-flight in that layer shorter than the emitted signal's time support, giving rise to overlapping echoes. Finally the relation between the model parameters and physical properties of the material is established.
authors.affiliation: EISLAB, Department of Computer Science and Electrical Engineering, Luleå University of Technology, Luleå, Sweden. Fredrik.Hagglund@ltu.se
authors.forename: Fredrik
authors.initials: F
authors.lastname: Hägglund
authors.forename: Jesper
authors.initials: J
authors.lastname: Martinsson
authors.forename: Johan E
authors.initials: JE
authors.lastname: Carlson
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D014463:Ultrasonography / Q000379:methods*