Optimal Partitioned State Kalman Estimator

摘要：

A new general two-stage algorithm was originally proposed to reduce the computational effort of the augmented state Kalman estimator. The conventional input estimation techniques assume constant input level and there are not covered a generalized input modeling. In this paper an innovative scheme is developed to overcome these drawbacks by using a new partitioned input dynamic modeling. In addition, authors propose a modified two-stage Kalman estimator with a new structure, which is an extension of the conventional input estimation techniques and is optimal for general, linear discrete-time systems.

关键词： Optimal two-stage Kalman estimators:input estimation:augmented state Kalman estimators:maneuvering target tracking.

作者: A. Karsaz H. Khaloozadeh M. Darbandi

作者单位: Department of Electrical Engineering,Khorasan Institution of Higher Education,Mashhad,Iran Department of Electrical Engineering,K.H.Toosi University of Technology,Tehran,Iran Department of Electrical Engineering,Sajjad Institution of Higher Education,Mashhad,Iran

会议类型: 国际会议

会议名称: The 3rd International Symposium on Systems and Control in Aeronautics and Astronautics(第三届航空航天系统与控制国际会议 ISSCAA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 941-946

在线出版日期: 2010-01-08（万方平台首次上网日期，不代表论文的发表时间）