基于GPDA-IMM和时间管理的相控阵雷达多目标跟踪算法  

Multi⁃Target Tracking Algorithm of Phased Array Radar Based on GPDA⁃IMM and Time Management

作　　者：张利平 赵俊梅 刘丹 陈昌鑫 孙传猛 ZHANG Liping;ZHAO Junmei;LIU Dan;CHEN Changxin;SUN Chuanmeng(School of Electrical and Control Engineering,North University of China,Taiyuan 030051,China)

机构地区：[1]中北大学电气与控制工程学院,山西太原030051

出　　处：《测试技术学报》2024年第5期552-558,共7页Journal of Test and Measurement Technology

基　　金：国家自然科学基金青年项目(62001428);国家自然科学基金资助项目(62003315)。

摘　　要：多功能相控阵雷达具有灵活性强、跟踪能力强的优势。为了提高相控阵雷达目标跟踪器精确度,进行相控阵雷达能量调节和任务执行的科学管理,通过合理调整机动目标和非机动目标的回访率,进而实现搜索、跟踪时间资源管理。设计了广义概率数据关联-交互式多模型(Generalized Probability Data Association-Interacting Multiple Model, GPDA-IMM)算法,GPDA运算量小,IMM综合了无迹和容积卡尔曼滤波和粒子滤波多模型滤波的特点,且优化权重因子,达到了较好跟踪性能。最后,通过仿真平台模拟8个运动目标的现实场景,结合时间管理和目标跟踪调整回访率,进行大量的仿真实验,证明了算法对不同目标类型和机动状态的有效性和实用性。Multifunctional phased array radar has the advantages of strong flexibility and tracking ability.In order to improve the accuracy of the phased array radar target tracker,the scientific management of energy regulation and task execution of the phased array radar is carried out.The time and resource management of searching and tracking is realized by adjusting the return rate of maneuvering targets and non-maneuvering targets reasonably.In this paper,a generalized probability data association(GPDA-IMM)algorithm is designed with a small computational load.IMM combines the features of untracked and volumetric Kalman filter and particle filter multi-model filter,and optimizes the weight factor to achieve better tracking performance.Finally,through the simulation platform,the realistic scenes of eight moving targets were simulated,and a large number of simulation experiments were carried out combining time management and target tracking to adjust the return rate,proving the effectiveness and practicability of the algorithm for different target types and maneuvering states.

关 键 词：相控阵雷达 广义概率数据关联(GPDA) 交互式多模型(IMM) 目标跟踪 时间管理 

分 类 号：TN958.92[电子电信—信号与信息处理]