计算机工程与应用2011，Vol.47Issue(1)：217-219,244,4.DOI:10.3778/j.issn.1002-8331.2011.01.062
高转弯频率下机动目标跟踪算法研究
Research on maneuvering target tracking algorithm under high turn frequency circumstances.
摘要
Abstract
The algorithm of UKF_IMM has better tracking performance for arbitrary nonlinear systems under the Gaussian conditions. But serious errors can arise when it is used in nonlinear nongaussian systems.PF_IMM is effective in nonlinearity and nongaussianity, however, it has a large computation. In existing literature on combining IMM and PF or UKF techniques to tackle difficult target maneuvers,a PF or UKF is usually used in every model. In comparison,IUS_IMM which uses a PF in the 2DTR model and UKF in the remaining models is put forward. Simulation results show that IUS_IMM has superior performance than UKF_IMM when maneuvering target is under high turn frequency circumstances.关键词
无迹卡尔曼滤波器/粒子滤波器/机动目标跟踪/交互多模型Key words
unscented Kalman filter/particle filterer/maneuvering target tracking/interactive multiple model分类
信息技术与安全科学引用本文复制引用
张杰,张建伟..高转弯频率下机动目标跟踪算法研究[J].计算机工程与应用,2011,47(1):217-219,244,4.基金项目
国家高技术研究发展计划((863)重点项目(the Key Project of National High-Tech Research and Development Plan of China under Grant No.2006AA12A104). （(863）
