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为了使星载天线的远场方向图与服务区的形状相匹配,并在服务区内获得高的增益和好的交叉极化隔离度,采用改进的实数编码遗传算法对其进行了优化设计。在优化过程中,以主极化增益和交叉极化隔离度作为优化目标,参考目标规划法来构造适应度函数;在群体选择的基础上采用差分进化方式、内插/外推和基因交换3种方法相结合来产生新个体,并采用自适应变异概率,来保证新一代染色体模式的多样性。最后以一个工作在Ku频段的赋形反射面天线为例,对其形状进行了优化设计。数值仿真结果表明,不仅天线的方向图与服务区形状匹配度很高,而且主极化增益和交叉极化隔离度都满足特定的设计要求,充分验证了所提算法的可行性和有效性。
In order to match the far-field pattern of the spaceborne antenna with the shape of the service area and achieve high gain and good cross-polarization isolation in the service area, an improved real-coded genetic algorithm was used to optimize the design. In the optimization process, the main polarization gain and cross-polarization isolation as the optimization goal, the reference objective programming method to construct the fitness function; based on the choice of population differential evolution, interpolation / extrapolation and gene exchange 3 The combination of methods to generate new individuals, and the use of adaptive mutation probability to ensure the diversity of a new generation of chromosome patterns. Finally, an example of the shaped reflector antenna working in the Ku band is given, and its shape is optimized. The numerical simulation results show that not only the matching of the antenna pattern with the service area shape is very high, but also the main polarization gain and cross polarization isolation meet the specific design requirements, which fully verify the feasibility and effectiveness of the proposed algorithm.