一种基于幅度相位信息辅助的多假设跟踪算法  

Multiple Hypothesis Tracking Algorithm Based on Amplitude-Phase Measurement Information Assistance

作　　者：郭玉霞[1,2,3] 孟中杰 刘琪[4] 傅嘉政 Guo Yuxia;Meng Zhongjie;Liu Qi;Fu Jiazheng(China Airborne Missile Academy,Luoyang 471009,China;School of Astronautics,Northwestern Polytechnical University,Xi’an 710072,China;National Key Laboratory of Air-based Information Perception and Fusion,Luoyang 471009,China;Project Center of Air Force Equipment Department,Beijing 100843,China)

机构地区：[1]中国空空导弹研究院,河南洛阳471009 [2]西北工业大学航天学院,西安710072 [3]空基信息感知与融合全国重点实验室,河南洛阳471009 [4]空装项目中心,北京100843

出　　处：《航空兵器》2024年第5期88-95,共8页Aero Weaponry

摘　　要：传统多目标跟踪算法在距离拖引(Range Gate Pull Off,RGPO)干扰场景中,由于无法有效区分真实目标和干扰,将出现目标航迹起始错误、跟踪误差增大、跟踪中断等现象,严重影响跟踪性能。针对这一问题,基于雷达量测的幅度和相位特征提出一种信息辅助多假设跟踪(Information Assisted Multiple Hypothesis Tracking,IA-MHT)算法。IA-MHT算法利用了幅度、相位信息区分目标真实量测和虚假量测,并基于判别结果修正了全局联合假设概率和航迹得分的计算步骤,从而提高算法的抗杂波和抗干扰性能。在RGPO干扰场景中的仿真结果表明,IA-MHT算法能够有效区分干扰量测,获得优于传统MHT算法的数据关联性能。In range gate pull off(RGPO)jamming scenarios,conventional multiple target tracking algorithm can not effectively distinguish the RGPO deception from real target measurements,resulting in track mis-initialization,increased tracking error,and tracking discontinuity.This paper proposes an information-assisted multiple hypothesis tracking(IA-MHT)algorithm to solve the above problems.The IA-MHT algorithm utilizes amplitude and phase information of radar measurements to distinguish between true and false measurements of targets.Furthermore,the algorithm adjusts the calculation method of global association hypothesis probabilities and track scores,which improves the tracking performance under clutter and RGPO interferences.Simulation results show that the IA-MHT algorithm can effectively distinguish the RGPO deception measurements and obtain superior data association performance compared to the conventional MHT algorithm.

关 键 词：多假设跟踪 距离拖引干扰 信息辅助 航迹得分 

分 类 号：TJ760[兵器科学与技术—武器系统与运用工程]