改进遗传算法应用于超低副瓣天线阵的综合设计

提出了一种改进的遗传算法.在同一代中对各个个体采用不重复交叉和不重复变异的策略和分别在交叉和变异后采用精英保留的策略,并改进了自适应规则.将该算法应用于实现线阵超低副瓣方向图.将各个天线单元的电流幅度和单元间距作为参量进行优化.给出了线阵天线单元在不同单元个数和不同间距条件下的优化结果.结果表明,该改进的遗传算法能够优化实现低于-40dB的超低副瓣,优于已有文献中遗传算法对天线阵副瓣的综合设计结果.

An Improved Genetic Algorithm Applied in Pattern Synthesis of Ultra-low Sidelobe Linear Array Antenna

An improved genetic algorithm is presented.There are no repeated operations of crossover and mutation for each individual in the same generation.And the elite reservation strategy is put after the operations of crossover and mutation respectively.The adaptive technology is also improved.Then the algorithm is applied to the pattern synthesis of ultra-low sidelobe linear array antennas in this paper.The amplitudes of the currents of the elements and the distances between elements are taken as variables for optimization.Several examples are given respectively,which have different number and spacing of the antennas.Results show the sidelobe levels can reach below-40dB by using our methods,which outweighs the results shown by some related literatures.