Distributed Kalman filtering: a bibliographic review

• Published in: IET control theory & applications Vol. 7; no. 4; pp. 483 - 501
• Main Authors: Mahmoud, Magdi S, Khalid, Haris M
• Format: Journal Article
• Language: English
• Published: Stevenage The Institution of Engineering and Technology 01.03.2013; John Wiley & Sons, Inc
• Subjects: bibliographic review; Bibliographies; Classification; classification methods; Control theory; distributed information structures; distributed Kalman filtering; distributed sensor fusion; distributed sensors; DKF; Documents; Filtering; Filtration; Kalman filtering; Kalman filters; Lists; sensor fusion; distributed sensor fusion; distributed information structures; bibliographic review; classification methods; sensor fusion; distributed sensors; Kalman filters; distributed Kalman filtering; DKF
• ISSN: 1751-8644; 1751-8652; 1751-8652
• DOI: 10.1049/iet-cta.2012.0732

In recent years, a compelling need has arisen to understand the effects of distributed information structures on estimation and filtering. In this study, a bibliographical review on distributed Kalman filtering (DKF) is provided. The study contains a classification of different approaches and methods involved to DKF. The applications of DKF are also discussed and explained separately. A comparison of different approaches is briefly carried out. Focuses on the contemporary research are also addressed with emphasis on the practical applications of the techniques. An exhaustive list of publications, linked directly or indirectly to DKF in the open literature, is compiled to provide an overall picture of different developing aspects of this area.