Recursive performance ranking of Kalman filter with mismatched noise covariances-Reference-Cited by-同舟云学术

Recursive performance ranking of Kalman filter with mismatched noise covariances

Published:2019-01-28 Issue:4 Volume:13 Page:459-466
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Shao Teng¹,Duan Zhansheng¹,Ge Quanbo²,Liu Huaping³

Affiliation:

1. Center for Information Engineering Science Research, Xi'an Jiaotong UniversityXi'anShaanxi710049People's Republic of China

2. Institute of Systems Science and Control Engineering, School of Automation, Hangzhou Dianzi UniversityHangzhouZhejiang310018People's Republic of China

3. Department of Computer Science and TechnologyTsinghua UniversityBeijing100084People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2018.5064

Reference41 articles.

1. A New Approach to Linear Filtering and Prediction Problems

2. New results in linear filtering and prediction theory;Kalman R.E.;ASME J. Basic Eng.,1961

3. Estimation with Applications to Tracking and Navigation

4. Numerical comparison of kalman filter algorithms: Orbit determination case study

5. Target Tracking Formulation of the SVSF With Data Association Techniques

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