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Accurate geolocation of rfi sources in smos imagery based on superresolution algorithms
| dc.contributor.author | Hyuk, Park |
| dc.contributor.author | Camps Carmona, Adriano José |
| dc.contributor.author | González Gambau, Veronica |
| dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
| dc.date.accessioned | 2014-10-23T13:48:19Z |
| dc.date.created | 2014 |
| dc.date.issued | 2014 |
| dc.identifier.citation | Hyuk, P.; Camps, A.; Gonzalez, V. Accurate geolocation of rfi sources in smos imagery based on superresolution algorithms. A: Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment. "13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2014 - Proceedings". Pasadena: 2014, p. 29-32. |
| dc.identifier.isbn | 978-147994644-0 |
| dc.identifier.uri | http://hdl.handle.net/2117/24454 |
| dc.description.abstract | Accurate geolocation of SMOS RFI sources is very important for effectively switching-off the illegal emitter in the protected L-band. We present a novel approach for the geolocation of SMOS RFI sources, based on the Direction of Arrival (DOA) estimation techniques normally used in the sensor array. The MUSIC DOA estimation algorithm is tailored for SMOS RFI source detection. In the test results, the proposed MUSIC method shows improved performance in terms of angular/spatial resolution. |
| dc.format.extent | 4 p. |
| dc.language.iso | eng |
| dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica |
| dc.subject.lcsh | Radiation--Measurement |
| dc.subject.other | Direction of Arrival (DOA) estimation |
| dc.subject.other | Microwave radiometry |
| dc.subject.other | MUSIC algorithm |
| dc.subject.other | Radio Frequency Interferences (RFIs) |
| dc.subject.other | Soil Moisture and Ocean Salinity (SMOS) mission |
| dc.subject.other | Synthetic aperture radiometry |
| dc.title | Accurate geolocation of rfi sources in smos imagery based on superresolution algorithms |
| dc.type | Conference report |
| dc.subject.lemac | Radiació -- Mesurament |
| dc.subject.lemac | Radiometria |
| dc.contributor.group | Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
| dc.identifier.doi | 10.1109/MicroRad.2014.6878902 |
| dc.description.peerreviewed | Peer Reviewed |
| dc.rights.access | Restricted access - publisher's policy |
| local.identifier.drac | 15261043 |
| dc.description.version | Postprint (published version) |
| dc.date.lift | 10000-01-01 |
| local.citation.author | Hyuk, P.; Camps, A.; Gonzalez, V. |
| local.citation.contributor | Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment |
| local.citation.pubplace | Pasadena |
| local.citation.publicationName | 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2014 - Proceedings |
| local.citation.startingPage | 29 |
| local.citation.endingPage | 32 |