摘要
共享孔径稀疏交错布阵作为多功能综合传感器系统的关键技术基础,可以减少天线的数量,节省空间,降低载荷和制造成本。利用差集构造的共享孔径交错阵列,由于阵元的非均匀稀疏分布而导致存在较高的旁瓣电平,提出一种将差集理论和遗传算法相结合对阵列进行优化的方法。首先由差集确定交错阵列的阵元位置,再以激励幅度分布为决策变量,利用遗传算法同步降低各子阵的旁瓣电平,使得共享孔径交错阵列的整体性能得到提升。仿真结果表明,该方法有效抑制了阵列的旁瓣电平,是一种有效的交错阵列优化方法。
The shared-aperture thinned interleaved arrays design technology is an important infrastructure of integrated sensor system （ISS）. It can reduce the quantity of antennas, save space, and reduce the loads and manufacture costs. The shared aperture interleaved arrays based on difference sets usually have high sidelobe levels, because of the asymmetric distribution of the thinned sub-arrays elements. A method of optimized interleaved arrays was proposed based on difference sets and genetic algorithm. First, the difference sets were used to determine the position of array elements, and the current magnitude distribution of arrays was taken as the decision-making variable. The genetic algorithm was used to lower the maximum sidelobe level, thus to improve the performance of the whole shared aperture interleaved arrays. The simulation results show that the method is effective to restrain the sidelobe levels and useful for interleaved array optimization.
出处
《电光与控制》
北大核心
2013年第8期33-36,共4页
Electronics Optics & Control
基金
国家自然科学基金(61172148)
关键词
共享孔径天线
交错阵列
差集
遗传算法
shared-aperture antenna
interleaved array
difference set
genetic algorithm
作者简介
胡继宽（1989-），男，山东菏泽人，硕士生，研究方向为阵列信号处理。
