西安电子科技大学学报（自然科学版）2017，Vol.44Issue(6)：31-36,6.DOI:10.3969/j.issn.1001-2400.2017.06.006
高斯过程回归下的多机动扩展目标跟踪
Multiple maneuvering extended targets tracking with Gaussian process regression
摘要
Abstract
In view of the complexity of estimating the shape of the extended target and the low accuracy in multiple maneuvering extended targets tracking in the clutters,a multiple maneuvering extended targets tracking algorithm with Gaussian Process Regression is proposed.First,the extension of targets is modeled as a star-convex model.Then,the concept of weights used in the multiple targets tracking algorithm is introduced to the single maneuvering extended target tracking algorithm to realize multi-targets tracking. Finally,the Gaussian Process Regression is used to estimate the shape for the extended target.Simulation shows that the proposed algorithm is capable of tracking multiple maneuvering extended targets in the same scene with different shapes, and outperforms the traditional non-ellipsoidal extended target tracking algorithm in the estimation precision and computing speed.关键词
多机动扩展目标/星凸模型/高斯过程回归/形状估计Key words
multiple maneuvering extended targets/star-convex models/Gaussian processes regression/shape estimation分类
信息技术与安全科学引用本文复制引用
李翠芸,王精毅,姬红兵..高斯过程回归下的多机动扩展目标跟踪[J].西安电子科技大学学报（自然科学版）,2017,44(6):31-36,6.基金项目
国家自然科学基金资助项目(61372003) （61372003）
国家自然科学基金青年资金资助项目(61301289) （61301289）
