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作 者:张孟达[1,2] 余颖菲 ZHANG Mengda;YU Yingfei(No.38 Research Institute of CETC,Hefei 230031;Key Laboratory of Aperture Array and Space Application,Hefei 230031)
机构地区:[1]中国电子科技集团公司第三十八研究所,合肥230031 [2]孔径阵列与空间探测安徽重点实验室,合肥230031
出 处:《火控雷达技术》2024年第3期34-38,共5页Fire Control Radar Technology
摘 要:在主瓣干扰场景下,由于常规自适应空域滤波的方法效果不佳,雷达常采用盲源分离抗主瓣干扰。但是,盲源分离后的信号难以估计目标角度。本文针对盲源分离后目标测角误差较大的问题,提出了一种改进方法,既能有效分离目标和干扰,又能准确估计目标角度。该方法对天线阵面进行非规则子阵划分,先对每个子阵进行波束域盲源分离,再对分离出的目标信号进行空间谱估计。本文分别采用JADE算法和MUSIC算法进行盲源分离和空间谱估计,测角性能受干扰功率影响较小,测角精度高。仿真结果证明了该方法的有效性和可行性。In the main-lobe jamming case,blind source separation is often used to suppress main-lobe jamming because the adaptive spatial filtering is not effective.But angle measurement error is large after blind source separation.In this paper,an improved method was proposed;it can not only separate target from interference effectively,but also estimate target angle accurately.This method divided the antenna array into irregular subarrays.Each subarray signal was separated by beam-domain blind source separation,and then use spatial spectrum estimation to measure target angle.JADE algorithm and MUSIC algorithm were adopted in this paper.The angle measurement results were less affected by the interference,and the angle measurement accuracy was high.The simulation results showed that this method was feasible and effective.
分 类 号:TN95[电子电信—信号与信息处理]
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