基于卫星SAR任务的基因算法以优化模式为基础的天线模型
Saray Sánchez-Sevilleja1, Marcos García-Rodríguez1, José Luis Masa-Campos2
1INTA National Institute of Aerospace Technology, Ajalvir Road, km 4, 28850 Torrejón de Ardoz, Spain.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
本研究使用MATLAB.使用合成孔径雷达系统 (SAR) 实现了阶段式阵列天线模型. 该模型优化了天线激发,以提高地球观测数据的准确性.
科学领域:
- 遥感 遥感 遥感 遥感
- 电磁学 电磁学 电磁学 电磁学
- 天线理论天线理论
背景情况:
- 合成孔径雷达 (SAR) 系统对于地球观测和环境监测至关重要.
- 准确的SAR系统校准严重依赖于精确的天线模型.
- 天线模型描述了辐射模式,增益和整体系统性能.
研究的目的:
- 描述SAR系统 (SARAS) 阶段阵列天线模型的实现和验证.
- 为西班牙地球观测任务PAZ和PRECURSOR-ECO.开发一个天线模型.
- 专注于用于光束图案生成的天线刺激生成 (AEG) 模块.
主要方法:
- 在MATLAB R2024a中开发一个阶段式阵列天线模型.
- 实施两个模块:天线模式生成 (APG) 和天线刺激生成 (AEG).
- 使用遗传算法 (GA) 来优化光束模式,以匹配计算的面具.
主要成果:
- 该AEG模块为所需的光束产生复杂的激发.
- 这些激发是为不同的卫星运行束量身定制的.
- 该过程是基于放射测量定义的参数,以优化性能.
结论:
- 开发的天线模型适合SAR系统,特别是用于地球观测任务.
- 该AEG模块有效地为各种光束要求生成优化的复杂激发.
- 这项工作有助于提高SAR数据校准的准确性和可靠性.
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