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作 者:杨亚锡 马军 YANG Yaxi;MAJun(No.38th Research Institute,China Electronics Technology Group Corporation,Hefei 230088,China;Key Laboratory of Aperture Array and Space Application,Hefei 230088,China)
机构地区:[1]中国电子科技集团公司第三十八研究所,合肥230088 [2]孔径阵列与空间探测安徽省重点实验室,合肥230088
出 处:《空天预警研究学报》2025年第1期12-17,共6页JOURNAL OF AIR & SPACE EARLY WARNING RESEARCH
摘 要:机载雷达是船舶交通航线辅助识别的重要设备.针对机载雷达的波束调度指向角偏差易导致性能效率降低甚至目标丢失的问题,提出一种基于船舶自动识别系统(AIS)的机载雷达波束调度误差标校补偿算法.首先,采用内插外推法对AIS和载机平台位置数据进行时间配准;然后,利用空间坐标变换方法对匹配数据坐标系进行统一,通过机理计算波束指向角误差;再使用经验模态分解(EMD)算法对误差进行分解,滤除随机波动误差,实现对机载雷达波束调度指向角偏差的标校补偿;最后,设计仿真实验验证了算法的有效性.实验结果表明,本文所提算法可有效进行机载雷达波束指向角标校及补偿,提高海上智能交通的安全和管理效率.Airborne radar is a crucial device for assisting in the identification of vessel traffic routes.Aimed at the problem that the errors in the beam scheduling pointing angle of airborne radar tend to cause the reduction of the performance efficiency and even the loss of the target,an AIS-based calibration and compensation algorithm for airborne radar beam scheduling errors is proposed.Firstly,the time aligning of AIS and aircraft platform position data is performed by using interpolation and extrapolation method.Then,the spatial coordinate transformation method is utilized to unify coordinate systems of the matched data,and the beam pointing angle error is calculated via mechanism.Subsequently,the empirical mode decomposition(EMD)algorithm is employed to decompose and filter out random fluctuation errors,thereby achieving the calibration and compensation of the deviation in the airborne radar beam scheduling pointing angle.Finally,simulation experiments are designed to verify the effectiveness of the algorithm.The experimental results indicate that the proposed algorithm can effectively perform the calibration and compensation of the airborne radar’s beam pointing angle,and improve the safety and management efficiency of maritime space intelligent transportation.
关 键 词:机载雷达 船舶自动识别系统 波束指向角 标校补偿
分 类 号:TN958[电子电信—信号与信息处理]
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