一种改进的星载SAR波束优化算法
doi: 10.3724/SP.J.1146.2010.00666
An Improved Beam Optimization Algorithm for Spaceborne SAR Applications
-
摘要: 针对传统的星载SAR波束展宽优化算法中优化变量数目多、计算时间长的缺点，该文提出了一种减少变量数目、提高优化速度的算法。该算法对常规遗传算法进行了改进，以正交多项式为天线口径分布的基函数，以多项式系数为优化变量，从而大大减少了优化的变量数目，提高了优化速度。此算法经过了长时间的改进，已经在多个型号项目中得到了广泛的应用。Abstract: In this paper, an improved beam optimization algorithm for spaceborne SAR applications is presented to reduce the number of optimizing variables and the calculation time, compared with the traditional algorithm. This algorithm improves on the traditional genetic algorithm. In order to reduce the number of the optimizing parameters and expedite the optimization speed, the coefficients of a group of orthogonal base functions are set as the optimizing variables. This algorithm has been widely used in many projects and results with high performance are obtained.
-
Key words:
- Spaceborne SAR /
- Array antennas /
- Beam optimization /
- Genetic Algorithm (GA)
-
Grubisic S, Carpes W P Jr, and Bastos J P A. Optimization model for antenna positioning in indoor environments using 2-D ray-tracing technique associated to a real-coded genetic algorithm [J].IEEE Transactions on Magnetic.2009, 45(3):1626-1629[7]Villegas F J. Parallel genetic-algorithm optimization of shaped beam coverage areas using planar 2-D phased array[J].IEEE Transaction on Antenna Propagation.2007, 55(6):1745-1753[8]张杨, 邓云凯. 基于遗传算法的星载合成孔径雷达天线方向图与模糊综合[J].电子与信息学报.2006, 28(8):1472-1475浏览[9]Zhang Yang and Deng Yun-kai. Antenna pattern synthesis for ambiguity depressing in spaceborne SAR systems based on genetic algorithms [J].Journal of Electronics Information Technology.2006, 28(8):1472-1475[10]徐慧, 李建新, 胡明春. 星载SAR波束展宽研究[J].电子与信息学报.2007, 29(3):540-543浏览[11]Xu Hui, Li Jian-xin, and Hu Ming-chun. Research on beam widening of spaceborne SAR [J].Journal of Electronics Information Technology.2007, 29(3):540-543[12]范瑜, 金荣洪, 刘波, 耿军平. 阵列天线方向图综合中的遗传算法目标函数研究[J].电子与信息学报.2005, 27(5):801-804浏览[13]Fan Yu, Jin Rong-hong, Liu Bo, and Geng Jun-ping. Study on the objective function for the array pattern synthesis based on genetic algorithms [J].Journal of Electronics Information Technology.2005, 27(5):801-804 -
计量
- 文章访问数: 4031
- HTML全文浏览量: 121
- PDF下载量: 695
- 被引次数: 0
下载:
