Interacting Multiple Model Algorithm with the Unscented Particle Filter (UPF)

作     者：邓小龙 谢剑英 倪宏伟 DENG Xiao-long;XIE Jian-ying;NI Hong-wei

作者机构：Department of Automation Shanghai Jiaotong University Shanghai 200030 China First Research Institute of Corps of Engineers General Armaments Department PLA Wuxi 214035 China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2005年第18卷第4期

页      面：366-371页

核心收录：

学科分类：080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0802[工学-机械工程] 0825[工学-航空宇航科学与技术] 0801[工学-力学（可授工学、理学学位）] 

基　　金：NationalNaturalScienceFoundationofChina(50405017) 

主　　题：interacting multiple model UPF UKF nonlinear/non-Gaussian 

摘      要：Combining interacting multiple model （IMM） and unscented particle filter （UPF）, a new multiple model filtering algorithm is presented. Multiple models can be adapted to targets＇ high maneu- vering. Particle filter can be used to deal with the nonlinear or non-Gaussian problems and the unscented Kalman filter （UKF） can improve the approximate accuracy. Compared with other interacting multiple model algorithms in the simulations, the results demonstrate the validity of the new filtering method.