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.
|Number of pages||11|
|Journal||IEEE Transactions on Instrumentation and Measurement|
|Early online date||2 Apr 2019|
|Publication status||E-pub ahead of print - 2 Apr 2019|
- time-of-flight (TOF)
- Akaike information criterion (AIC)
- acoustic tomography