Improved time-of-flight estimation method for acoustic tomography system

Yong Bao, Jiabin Jia

Research output: Contribution to journalArticlepeer-review

Abstract

Tomographic imaging based on acoustic wave time-of-flight (TOF) measurement is considered to be a promising technique for monitoring temperature fields due to it being non-invasive, relatively low cost, having a high temporal resolution and being easy to use. Accurate estimation of the TOF is key in improving the quality of the reconstructed images. In this paper, an improved TOF estimation method based on the Akaike Information Criterion (AIC) is developed. Two improvements are studied in comparison to conventional weighted AIC TOF estimation methods against cross-talk interference and sound reflections: an adaptive window is applied for accurate AIC TOF estimation; a phase correction method is used to further improve the temporal resolution and noise robustness of the TOF estimation. The feasibility and effectiveness of the developed methods are validated in two experiments.
Original languageEnglish
Number of pages11
JournalIEEE Transactions on Instrumentation and Measurement
Early online date2 Apr 2019
DOIs
Publication statusE-pub ahead of print - 2 Apr 2019

Keywords

  • time-of-flight (TOF)
  • Akaike information criterion (AIC)
  • acoustic tomography

Fingerprint Dive into the research topics of 'Improved time-of-flight estimation method for acoustic tomography system'. Together they form a unique fingerprint.

Cite this