数字阵列机载预警雷达子阵优化研究  

A Study on Sub-array Optimization of Digital Array Airborne Early Warning Radar

作　　者：于连庆[1,2] 马亮 王宁 杨予昊[1,2] 孙俊[1,2] YU Lianqing;MA Liang;WANG Ning;YANG Yuhao;SUN Jun(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China;Key Laboratoiy of IntelliSense Technology,CETC,Nanjing 210039,China)

机构地区：[1]南京电子技术研究所,南京210039 [2]中国电子科技集团公司智能感知技术重点、实验室,南京210039

出　　处：《现代雷达》2020年第5期30-34,共5页Modern Radar

摘　　要：针对数字阵列机载预警雷达的子阵划分问题,提出一种基于遗传算法的雷达子阵划分方法。该方法在子阵数给定的情况下,以最大化空时自适应处理(STAP)的改善因子为优化准则,利用遗传算法优化数字阵列机载预警雷达的子阵划分。仿真和数字阵列机载预警雷达实测数据验证表明:子阵优化不仅可以提升STAP抑制杂波和干扰的性能,还可以提升预警雷达检测远距离(或近主瓣杂波)弱小目标的能力。Aiming at the problem of sub-array partition of airborne early warning radar with digital array, a method of radar sub-array partition based on genetic algorithm is proposed. The genetic algorithm is used in this method to optimize the sub-array partition of digital array airborne early warning radar with a given number of sub-arrays and with the maximization of improvement factor of space-time adaptive processing(STAP) as optimization criterion. Simulation and experimental data validations of digital array airborne early warning radar show that sub-array optimization can not only improve the performance of STAP to suppress clutter and jamming, but also enhance the ability of early warning radar to detect long-range(or near main lobe clutter) dim and small targets.

关 键 词：数字阵列 子阵划分 空时自适应处理 改善因子 遗传算法 

分 类 号：TN959.73[电子电信—信号与信息处理]