A New Interacting Multiple Model Algorithm Based on the Unscented Particle Filter

摘要：

Combining the interacting multiple model (IMM) and the unscented particle filter (UPF), a new multiple model filtering algorithm is presented. Multiple models can adapt to targetshigh maneuvering. Particle filter can deal with the nonlinear or non-Gaussian problems and the unscented Kalman filter (UKF) may improve the approximate accuracy. Compared with other interacting multiple model algorithms in the target tracking simulations, the results demonstrate the validity of the new filtering method, that is, particle filter with the UKF proposal.

关键词： interacting multiple model unscented particle filtert particle filter target tracking

作者: Deng Xiaolong Zhou Pingfang

作者单位: Department of Mechanical Engineering Jiangsu College of Information Technology Wuxi,Jiangsu,China Institute of Astronautics & Aeronautics Shanghai Jiao tong University Shanghai,China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 419-422

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）