基于实数遗传算法的米波雷达方位超分辨研究  

Azimuth super-resolution approach for meter wave radar based on real-valued genetic algorithm

作　　者：何劲[1] 陈建文[2] 刘中[1] 

机构地区：[1]南京理工大学,江苏南京210094 [2]南京电子技术研究所,江苏南京210013

出　　处：《电波科学学报》2004年第3期307-310,共4页Chinese Journal of Radio Science

摘　　要：超分辨谱估计技术可以在不增大天线口径的情况下提高米波雷达的方位角分辨力。利用实数遗传算法实现了波达方向 (DOA)估计的参数模型拟合类超分辨方法 ,并利用计算机仿真和米波雷达的实测数据进行了算法性能分析 。Azimuth resolution of meter wave radar can be improved by using super-resolution spectrum estimation methods without extending the antenna aperture. The real-valued genetic algorithm was applied to the parametric super-resolution approach for DOA estimation. The performance analysis was performed by computer simulation and the practical radar measured data. The results indicate that the global solution of real-valued genetic algorithm can improve the performance of azimuth super-resolution for meter wave radar.

关 键 词：米波雷达 方位超分辨 波达方向 实数遗传算法 

分 类 号：TN95[电子电信—信号与信息处理]