摘要
本文以提升空空导弹在空战中的对抗能力为背景,开展针对强机动目标的滤波算法设计,以提高目标跟踪精度。首先,对强机动目标滤波算法开展分析,提出以交互式多模型算法为基础的混合网格多模型(HGMM)算法。其次,针对混合网格多模型算法开展详细设计。最后,通过数字仿真验证了该算法可行且跟踪效果良好,跟踪精度提高了约20%。
In this paper,a filtering algorithm for tracking strong maneuvering targets is proposed to improve the attack ability of air-to-air missiles in air combat.Firstly,by analyzing the filtering algorithm of strong maneuvering targets,a hybrid grid multiple model(HGMM)framework based on interacting multiple model algorithm is constructed.Then,the hybrid grid multiple model algorithm is designed in detail.Finally,numerical simulation shows that the proposed method is feasible and has good tracking effect,the tracking accuracy is improved abaut 20%.
作者
何金刚
徐林峰
张金鹏
余治民
He Jingang;Xu Linfeng;Zhang Jinpeng;Yu Zhimin(School of Astronautics,Northwestern Polytechnical University,Xi’an 710072,China;China Airborne Missile Academy,Luoyang 471009,China;School of Automation,Northwestern Polytechnical University,Xi’an 710072,China;The First Military Representative Office of Air Force Equipment Department in Luoyang,Luoyang 471009,China)
出处
《航空兵器》
CSCD
北大核心
2021年第6期40-45,共6页
Aero Weaponry
基金
国家自然科学基金项目(61771399)
航空科学基金项目(20180112006)
陕西省自然科学基础研究计划(2020JM-101)。
关键词
自适应网格
交互多模型
混合网格多模型
机动目标
目标跟踪
滤波算法
空空导弹
adaptive grid
Interacting multiple model
hybrid grid multiple model
maneuvering target
target tracking
filtering algorithm
air-to-air missile
