基于仿射群自调整粒子滤波泊位飞机跟踪算法  

Docking Aircraft Tracking Algorithm Based on Affine Group Self-Tuning Particle Filtering

作　　者：郭艳颖[1] 刘志刚[1] 

机构地区：[1]广州民航职业技术学院,广东广州

出　　处：《国际航空航天科学》2019年第2期57-62,共6页Journal of Aerospace Science and Technology

基　　金：广东省高等职业教育教学改革项目(项目编号20130301051);2014年度广东省教育教学成果奖(高等教育)培育项目(项目序号834)。

摘　　要：基于仿射群的自调整粒子滤波算法被提出,用于跟踪机场内泊位飞机,防止飞机发生相碰。算法中主要是利用最少粒子数量找到最优状态跟踪目标,在线学习估计器来交替地调整这些粒子,根据反馈出现相似分数使得这些粒子朝着邻近的最优状态移动,当所有调整的粒子满足目标块最大相似度或者允许的最大粒子数量达到时结束。算法实现了稀少采样,能够获得更好的鲁棒性和高准确率跟踪的效果。The algorithm based on affine group self-tuning particle filtering is proposed to track docking air-craft in airport,and to prevent the aircraft collision.The algorithm is mainly used to find the op-timal state with minimum number of particles tracking target.The online learning estimator is used to adjust these particles,the similarity score is based on the feedback,which makes the par-ticles move towards the optimal state.It comes to an end when all the particles are adjusted to meet the maximum degree of similarity or the maximum number of particles allowed.The algorithm achieves sparse sampling and obtains better robustness and high accuracy tracking results.

关 键 词：泊位飞机 跟踪 仿射群 粒子滤波 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]