A novel strategy for radar imaging based on compressive sensing
This paper aims at introducing the recent theory of compressive sensing to radar imaging systems in order to retrieve the imaged scene with better resolution and a reduced amount of collected samples. As a result of the application of the alternative imaging technique proposed, the use of matched fi...
| Autores: | , , |
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| Formato: | artículo |
| Fecha de publicación: | 2010 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/10875 |
| Acesso em linha: | https://hdl.handle.net/2117/10875 https://dx.doi.org/10.1109/TGRS.2010.2051231 |
| Access Level: | acceso abierto |
| Palavra-chave: | Radar--Antennas Signal theory (Telecommunication) Remote sensing Senyal, Teoria del (Telecomunicació) Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
| Resumo: | This paper aims at introducing the recent theory of compressive sensing to radar imaging systems in order to retrieve the imaged scene with better resolution and a reduced amount of collected samples. As a result of the application of the alternative imaging technique proposed, the use of matched filtering is avoided and the effect of its sidelobes in the images is drastically diminished. Furthermore, the amount of data to be stacked in the sensor and then downlinked to the ground station is meaningfully lower. This permits a more efficient management of resources. |
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