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Surface echo reduction by clutter simulation, application to the Marsis data
- Source :
- IEEE Proceedings, IEEE Radar Conference, IEEE Radar Conference, May 2009, Pasadena, United States. pp.1-4, ⟨10.1109/RADAR.2009.4976952⟩
- Publication Year :
- 2009
- Publisher :
- HAL CCSD, 2009.
-
Abstract
- International audience; Low frequency spaceborn radar is a promising opportunity to investigate Earth subsurface in arid and polar areas and for planetary exploration. , The radar signal penetrates subsurface and the return signal is the sum of the surface clutter and the subsurface signal that is the signal of interest. In this paper, we describe the simulation of the surface clutter. This signal consists of two parts: electromagnetic waves scattered and one coherently reflected by the surface. Both components are jointly simulated using facet method and an elevation model. So, the method is applied to the Marsis radar experiment. The surface description (elevation model) is based on the Mola data while the simulation parameters are optimized using the instrument characteristics. The comparison of the real data with the simulated clutter allows discrimination of subsurface echoes. This comparison demonstrates the method efficiency and is the base for Marsis data interpretation. Some general conclusions concerning the simulations for other radars will be drawn
- Subjects :
- 010504 meteorology & atmospheric sciences
MARSIS
radar signal processing
01 natural sciences
Signal
law.invention
Physics::Geophysics
spaceborne radar
Surface wave
law
electromagnetic wave scattering
Radar imaging
0103 physical sciences
Surface roughness
Clutter
Radar
010303 astronomy & astrophysics
Radar horizon
radar clutter
Geology
Physics::Atmospheric and Oceanic Physics
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- IEEE Proceedings, IEEE Radar Conference, IEEE Radar Conference, May 2009, Pasadena, United States. pp.1-4, ⟨10.1109/RADAR.2009.4976952⟩
- Accession number :
- edsair.doi.dedup.....f8d710c22687af0aaf39f62aaa0f9d16
- Full Text :
- https://doi.org/10.1109/RADAR.2009.4976952⟩