Adaptive Waveforms for Flow Velocity Estimation Using Acoustic Signals - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Adaptive Waveforms for Flow Velocity Estimation Using Acoustic Signals

Ion Candel
  • Fonction : Auteur
  • PersonId : 928771
Angela Digulescu
Cornel Ioana
Gabriel Vasile

Résumé

In this paper, we introduce a general framework for waveform design and signal processing, dedicated to the study of turbulent flow phenomena. In a bi-static configuration, by transmitting a specific waveform with a predefined instantaneous frequency law (IFL), within the bounds of the Kolmogorov spectrum, the turbulent media will modify the IFL at the receiving side. We propose a new methodology to estimate this change and to exploit it for velocity estimation using acoustic signals. In this way, the amplitude based velocity estimation techniques can be substituted by non stationary time - frequency signal processing. This technique proves to be more robust in terms of interferences and can provide a more detailed representation of any turbulent environment.
Fichier principal
Vignette du fichier
Cand-14_EUSIPCO.pdf (355.19 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01065835 , version 1 (18-09-2014)

Identifiants

  • HAL Id : hal-01065835 , version 1

Citer

Ion Candel, Angela Digulescu, Cornel Ioana, Gabriel Vasile. Adaptive Waveforms for Flow Velocity Estimation Using Acoustic Signals. EUSIPCO 2014 - 22th European Signal Processing Conference, Sep 2014, Lisbonne, Portugal. pp.5. ⟨hal-01065835⟩
335 Consultations
94 Téléchargements

Partager

Gmail Facebook X LinkedIn More