You are here

Noise limitations on the recovery of average values of velocity profiles in pipelines by simple imaging systems

Printer-friendly versionPrinter-friendly versionPDF versionPDF version
TitleNoise limitations on the recovery of average values of velocity profiles in pipelines by simple imaging systems
Publication TypeJournal Article
Year of Publication2016
AuthorsBrignone, M, Gragnani, GL, Pastorino, M, Raffetto, M, Randazzo, A
JournalIEEE Geoscience and Remote Sensing Letters
Volume13
Pagination1340–1344
ISSN1545-598X
Keywordsaxial velocity values, axially moving cylinders, Bianisotropic media, dielectric profile reconstruction, Dielectrics, electromagnetic scattering, Electromagnetics, image reconstruction, inverse scattering procedures, measurement system, Media, moving media, noise limitations, reconstruction of velocity profiles, reliability, Sensors, simple imaging systems, time-harmonic electromagnetic scattering, two-step algorithm, velocity profile average values, velocity profile reconstruction
Abstract

This letter deals with a recently proposed two-step algorithm for the reconstruction of dielectric and velocity profiles of axially moving cylinders. In particular, the aim of the present work is to investigate the limitations and capabilities in reconstructing the velocity profile. By considering a best-case scenario, it is shown that, although the algorithm should be able to work even in the presence of flows with very small axial velocity values, reliable results can only be obtained when the axial speed is larger than a lower bound. This bound is shown to be an intrinsic limitation of the algorithm which is only related to the cross-polarization isolation of the measurement system. Other simulations, based on worst-case scenarios, confirm that such a bound is independent of the type of flow considered, of the configuration of the measurement system, and of the errors coming from the step devoted to the reconstruction of the dielectric profile. Finally, the same simulations show that the algorithm is reliable in a wide range of speed values, provided sensors with large cross-polarization isolations are exploited.

DOI10.1109/LGRS.2016.2584703