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.
作者
于连庆
马亮
王宁
杨予昊
孙俊
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)
出处
《现代雷达》
CSCD
北大核心
2020年第5期30-34,共5页
Modern Radar
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
digital array
sub-array partition
space-time adaptive processing
improvement factor
genetic algorithm
