基于差分进化算子的遗传算法在多波束平面阵天线综合中的应用

Application of Genetic Algorithm Based on Differential Evolution to Multi-beam Planar Array Antenna Synthesis

针对大角度扫描的低轨卫星多波束平面阵天线,提出一种基于差分进化算子的遗传算法,分别对阵列天线的幅度和相位激励权重进行综合优化。算法采用结合差分进化操作的遗传算子更新种群因子,不仅改善了算法的收敛速度,而且优化了综合结果。仿真结果表明,算法能有效应用于平面阵天线的综合,并取得符合各项设计指标的优化解。实测结果验证了平面阵天线辐射场模型的正确性和算法的可行性。

According to the multi-beam planar array antenna scanning with large angle utilized in LEO satellites, a modified genetic algorithm based on differential evolution is proposed to realize the array antenna synthesis of amplitude and phase coefficients. The genetic operator combined with differential evolution is adopted to generate the population. Therefore it is expected that the algorithm not only improves the convergence speed, but also optimizes results for synthesis. Simulations show that the pattern synthesis of planar antenna arrays can be carried out with optimized results reaching the designed goals. Simultaneously, the test results verify the accuracy of the planar array antenna radiation pattern and feasibility of the algorithm.