基于遗传算法的单脉冲阵列天线优化

The Optimization of the Monopulse Antenna Based on Genetic Algorithms

采用遗传算法来优化单脉冲阵列天线的和、差方向图和方向性系数。在天线阵综合时 ,若不考虑差方向图和方向性系数的影响 ,所进行的方向图优化仅仅显示出和方向图的特性 ,对单脉冲阵列天线追踪目标的精度和作用距离没有保证。而在天线阵综合时兼顾和、差方向图以及方向性系数的优化 ,既可使得天线能发现目标 ,并使天线能准确对目标实施准确角跟踪 ,提高雷达的跟踪和作战性能。

The sum and difference patterns as well as the directivity of the monopulse antenna arrays are optimized based on genetic algorithms (GA). When only the sum pattern is optimized as usual, the difference pattern and gain can not be guaranteed, so the track precision and effective distance of the antenna or missile will be impaired. However, using GA, the sum pattern, difference pattern and directivity can be optimized thoroughly for the antenna design. [