| Title | RADARSAT 2 antenna modeling and synthesis using the Genetic Algorithms |
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| Author | 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 |
| Year | 2005 |
| Alt Series | Natural Resources Canada, Contribution Series 20181403 |
| Publisher | IEEE |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | geophysics; remote sensing |
| Program | Canada Centre for Remote Sensing Divsion |
| Abstract | 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 |
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