海军航空工程学院学报2018，Vol.33Issue(1)：111-118,8.DOI:10.7682/j.issn.1673-1522.2018.01.003
海上低空突防群目标跟踪的IMM-Bayesian实现
IMM-Bayesian Tracking Algorithm for the Sea Surface Low-Altitude Penetration Group Targets
摘要
Abstract
Due to the low detection and high maneuverability of the sea surface low-altitude penetration group targets,the traditional tracking method has the problem of poor track continuity and association confusion.Based on the idea of the whole tracking for formation group targets,the IMM-Bayesian algorithm which combining the Interacting Multiple Model (IMM)and Bayesian algorithm was used to track the maneuvering group targets in typical scenario(turning,merging,split-ting).At the same time,the random matrix was used as the extended state of the group to complete the shape estimation. Aiming at the phenomenon of splitting and merging in the moving process of sea surface low-altitude penetration group tar-gets,the idea of nearst neighbor classification which was based on the IMM-Bayesian algorithm was adopted to track it. The simulation showed the effectiveness of the algorithm.关键词
群目标跟踪/交互式多模型/随机矩阵/拐弯/分裂与合并Key words
group-target tracking/interacting multiple model/random matrix/turning/merging&splitting分类
信息技术与安全科学引用本文复制引用
王婷婷,缪礼锋,程然..海上低空突防群目标跟踪的IMM-Bayesian实现[J].海军航空工程学院学报,2018,33(1):111-118,8.基金项目
中航工业技术创新基金资助项目(2014D60720R) （2014D60720R）
