High-Frequency Radar Ocean Current Mapping at Rapid Scale with Autoregressive Modeling
| Autor: | Julien Marmain, Charles-Antoine Guérin, Baptiste Domps, Dylan Dumas |
|---|---|
| Přispěvatelé: | Institut méditerranéen d'océanologie (MIO), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2020 |
| Předmět: |
Time delay and integration
Signal Processing (eess.SP) Scale (ratio) FOS: Physical sciences 020101 civil engineering Ocean Engineering 02 engineering and technology 01 natural sciences 010305 fluids & plasmas 0201 civil engineering law.invention symbols.namesake law Hfr cell 0103 physical sciences FOS: Electrical engineering electronic engineering information engineering 14. Life underwater Electrical and Electronic Engineering Radar Time series Electrical Engineering and Systems Science - Signal Processing [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment Physics [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Mechanical Engineering Time–frequency analysis Computational physics Physics - Atmospheric and Oceanic Physics Autoregressive model Atmospheric and Oceanic Physics (physics.ao-ph) symbols Doppler effect |
| Zdroj: | IEEE Journal of Oceanic Engineering IEEE Journal of Oceanic Engineering, Institute of Electrical and Electronics Engineers, 2021, ⟨10.1109/JOE.2020.3048507⟩ IEEE Journal of Oceanic Engineering, 2021, ⟨10.1109/JOE.2020.3048507⟩ |
| ISSN: | 0364-9059 |
| DOI: | 10.48550/arxiv.2006.11001 |
| Popis: | We use an Autoregressive (AR) approach combined with a Maximum Entropy Method (MEM) to estimate radial surface currents from coastal High-Frequency Radar (HFR) complex voltage time series. The performances of this combined AR-MEM model are investigated with synthetic HFR data and compared with the classical Doppler spectrum approach. It is shown that AR-MEM drastically improves the quality and the rate of success of the surface current estimation for short integration time. To confirm these numerical results, the same analysis is conducted with an experimental data set acquired with a 16.3 MHz HFR in Toulon. It is found that the AR-MEM technique is able to provide high-quality and high-coverage maps of surface currents even with very short integration time (about 1 minute) where the classical spectral approach can only fulfill the quality tests on a sparse coverage. Further useful application of the technique is found in the tracking of surface current at high-temporal resolution. Rapid variations of the surface current at the time scale of the minute are unveiled and shown consistent with a $f^{-5/3}$ decay of turbulent spectra. Comment: 13 pages, 11 figures, 3 tables |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|