一种重频分组雷达信号时差解模糊算法  

Time Difference Resolution Fuzzy Algorithm for Repeated Frequency Grouped Radar Signals

作　　者：尹超伟 薄连坤 熊瑾煜 YIN Chaowei;BO Liankun;XIONG Jinyu(Information Engineering University,Zhengzhou 450001,China;National Key Laboratory for Blind Signal Processing,Chengdu 610000,China)

机构地区：[1]信息工程大学,河南郑州450001 [2]盲信号处理国家级重点实验室,四川成都610000

出　　处：《信息工程大学学报》2024年第2期127-132,166,共7页Journal of Information Engineering University

摘　　要：相控阵雷达具有高速灵活的波束调度能力且其信号广泛采用高重频设计,导致无源时差估计中出现大量的非均匀时差模糊点,难以精确定位。为解决时差模糊问题,基于团簇分组的方法提出一种卡尔曼滤波联合概率关联的重频分组雷达信号时差解模糊算法,该方法在时差层面充分利用了相控阵雷达信号重频组变的特性,融合多普勒频率、重周等多维信息,能够基于双站观测场景序贯完成单路时差模糊点的修正,从而得到目标真实时差轨迹。仿真验证了所提方法的可行性。Phased array radar has high-speed and flexible beam scheduling capabilities,and the widespread use of high repetition frequency design in signals results in a large number of uneven time difference blurring points in passive time difference estimation,which makes it difficult for accurate location.To solve time difference ambiguity,a time difference resolution ambiguity algorithm for repetitive grouped radar signals based on cluster grouping is proposed,which uses Kalman filter combined with probability correlation to make full use of the characteristics of repetitive frequency group variation of phased array radar signals at the time difference level,and combines multi-dimensional information such as Doppler frequency and multi-week information.Accordingly,the correction of single time difference ambiguity can be done sequentially based on the two-station observation scene,thus obtaining the true time difference track of the target.The feasibility of the proposed method is verified by simulation.

关 键 词：重频分组雷达 时差定位 HOUGH变换 卡尔曼滤波 高斯概率 

分 类 号：TN971[电子电信—信号与信息处理]