Performance Comparison of the two-stage Kalman filtering Techniques for Target Tracking

摘要：

The two-stage filtering methods, such as the wellknown augmented state Kalman estimator (AUSKE) and the optimal two-stage Kalman estimator (OTSKE), suffer from some major drawbacks. These drawbacks stem from assuming constant acceleration and assuming the input term is observable from the measurement equation. In addition, these methodologies are usually computationally expensive. The innovative optimal partitioned state Kalman estimator (OPSKE) developed to overcome these drawbacks of traditional methodologies. In this paper, we compare performance of the OPSKE with the OTSKE and the AUSKE in the maneuvering target tracking (MTT) problem. We provide some analytic results to demonstrate the computational advantages of the OPSKE.

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,Ferdowsi University,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: 947-952

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）