基于遗传算法与粒子群优化法的机载合成孔径雷达天线赋形波束综合

采用了遗传算法和粒子群优化法两种现代进化算法对赋形波束天线进行了综合,得到了很好的结果,并比较了两种算法的优缺点.首先通过对宽测绘带的机载合成孔径雷达距离向回波特性的分析,给出了天线距离向赋形辐射方向图表达式.接着利用两种现代优化算法结合谢昆若夫法对天线阵分别进行综合,得到了近似相等的天线各单元激励幅度和相位.然后选择5个单元激励并利用微带贴片天线阵列实现了赋形波束方向图,实验结果和理论优化结果基本吻合,从而证明了这两种现代进化算法对赋形天线方向图综合方法的有效性.

Synthesis of shaped beam antennas for airborne SAR based on genetic algorithm and particle swarm optimization

The shaped beam antennas were synthesized using two modern evolutional algorithms, the genetic algorithm(GA)and the particle swarm optimization (PSO). The good results were gotten and the advantages and disadvantages of the two methods were compared. The echo characteristics of the wide swath airborne synthetic aperture radar (SAR) were analyzed, then the expression of the shaped beam radiation patterns in the range plane of the antennas were induced. The patterns were synthesized using the Schelkunoff unit circle method combined with the two modern optimization methods and the coincident exciting amplitude and phase of the elements were obtained. A sample microstrip array was fabricated, and the measured results are basically in accordance with the simulated and theoretical optimized results. This indicates that the synthesizing methods using GA and PSO is effective.