摘要
为了减少杂波、目标回波等因素的影响,自适应副瓣对消方法通常需要在休止期采集干扰样本并完成对消权值计算。当雷达阵面机械转动时,干扰的空间特性会随时间发生变化,导致自适应副瓣对消性能严重下降。针对上述问题,文中提出了一种基于干扰样本特性重构的自适应干扰抑制零点展宽算法。首先,推导了阵面转动引起的干扰空域特性变化规律;然后,给出了基于休止期采集的干扰样本实现后续时间段内干扰样本的重构方法,使得自适应副瓣对消形成的干扰抑制零点展宽,从而改善接收全程内的干扰抑制效果;最后,通过仿真计算验证了该方法的有效性和稳健性。
In view of cancellation performance degradation of the general adaptive sidelobe canceling (ASLC) based on jamming sample during the period of inactivity caused by mechanical scanning of the antenna, a nulling broadening algorithm for jamming suppressing using ASLC based on character reconfiguration of jamming sample is proposed. The rule of spatial character variation of jamming is deduced firstly. Then the jamming sample in the echo is reconfigured on account of jamming sample during the period of inactivity, and the jamming suppressing notch is broadened in ASLC, so that the cancellation performance of the jamming in the echo is improved. At last, the effectiveness of the method is proved by the simulation.
作者
郭国强
武亚涛
魏耀
GUO Guoqiang;WU Yatao;WEI Yao(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China)
出处
《现代雷达》
CSCD
北大核心
2019年第7期28-32,共5页
Modern Radar
关键词
副瓣对消
零点展宽
干扰抑制
sidelobe canceling
nulling broadening
jamming suppressing