Radar coverage prediction over ocean: Duct mapping using least squares support vector machines
| Autor: | Remi Douvenot, Christophe Bourlier, Vincent Fabbro, Joseph Saillard |
|---|---|
| Přispěvatelé: | ONERA - The French Aerospace Lab [Toulouse], ONERA, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: |
Wave propagation
Refractive index Inverse transform sampling refractivity from clutter 02 engineering and technology Refractive index profile Ducts least squares approximations 01 natural sciences Least squares methods duct mapping shipborne radar coverage law.invention parabolic wave equation Predictive models 010104 statistics & probability Electromagnetic propagation radar coverage prediction law Least squares support vector machine Clutter Oceans 0202 electrical engineering electronic engineering information engineering refractive effect electromagnetic wave propagation 0101 mathematics Radar wave equations Electromagnetic refraction Remote sensing Support vector machines sea clutter sea environment parabolic equations radar computing 020206 networking & telecommunications Wave equation Parabolic partial differential equation ocean [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism marine radar sea surface radar clutter Geology least squares support vector machine |
| Zdroj: | EuCAP EuCAP, Nov 2006, Nice, France. ⟨10.1109/EUCAP.2006.4584941⟩ Scopus-Elsevier |
| DOI: | 10.1109/EUCAP.2006.4584941⟩ |
| Popis: | International audience; Sea environment is a complex and changing medium which causes important variations on shipborne radar coverage. Actually, the electromagnetic wave propagation sustains strong refractive effects due to the presence of ducts, and diffraction effects due to the sea surface. However, efficient two-dimensional prediction models for wave propagation based on parabolic wave equation (PWE) are available nowadays, but a relevant description of the refractive index profile is needed to feed these models. The idea, first introduced by Rogers and Gerstoft and known as "refractivity from clutter" (RFC), is to exploit the sea clutter in order to retrieve the refractive index profile. The aim of this paper is to propose a new inversion method to obtain the vertical variations of the modified refractivity from the knowledge of the range-dependent propagation losses. These latter can be deduced from the sea clutter collected by the radar. Whereas Rogers and Gerstoft used a genetic algorithm (GA) to find the modified refractivity profile parameters, least squares support vector machines (LS-SVM) are used here. This method produces good results with the great advantage of quickness |
| Databáze: | OpenAIRE |
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