| Titre | RADARSAT 2 antenna modeling and synthesis using the Genetic Algorithms |
| |
| Auteur | Touzi, R; Livingstone, C E; Filfil, R |
| Source | IEEE International Geoscience and Remote Sensing Symposium proceedings vol. 4, 1525424, 2005 p. 2262-2265, https://doi.org/10.1109/IGARSS.2005.1525424 |
| Année | 2005 |
| Séries alt. | Ressources naturelles Canada, Contribution externe 20181403 |
| Éditeur | IEEE |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.1109/IGARSS.2005.1525424 |
| Media | papier; en ligne; numérique |
| Formats | pdf |
| Sujets | télédétection; géophysique |
| Programme | Direction du Centre canadien de télédétection |
| Résumé | (disponible en anglais seulement)
RADARSAT 2 antenna is a phased array antenna, which consists of 512 T/R modules organized in 32 rows in elevation and 16 columns in azimuth. Several instrument
modes (ScanSAR mode for example) require a steering on the elevation antenna pattern. In order to come up with RF performance predictions for the various antenna beams, it is necessary to develop an efficient method to synthesize and analyze the
beams. In this study, a mathematical model is developed for RADARSAT2 antenna and implemented in a workstation named, the RADARSAT2 antenna pattern synthesis workstation (APSW). The APSW performs two major tasks: antenna pattern modeling and antenna
pattern synthesis. The Genetic Algorithm is used for an optimum antenna synthesis. The APSW is described in this paper. Examples of antenna pattern generated by the APSW in the presence of T/R failures, as well as the optimum T/R excitation law to be
applied for minimizing the T/R failure impact are also presented. |
| GEOSCAN ID | 311758 |
|
|