TY  - GEN
ID  - cogprints8906
UR  - http://cogprints.org/8906/
A1  - Mahmoud, Professor Magdi S. 
A1  - Khalid , Dr.  Haris M. 
TI  - Bibliographic Review on Distributed Kalman Filtering
Y1  - 2013/01//
N2  - In recent years, a compelling need has arisen to understand the effects of distributed information structures on estimation and filtering. In this paper, a bibliographical review on distributed Kalman filtering (DKF) is provided.
The paper 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.
AV  - public
KW  - Distributed Kalman filtering (DKF)
KW  -  Self-tuning (ST) distributed fusion Kalman filter
KW  -  distributed particle
filtering (DPF)
KW  -  distributed consensus (DC)-based estimation
KW  -  track-to-track fusion
KW  -  distributed networks (DN)
KW  -  multisensor
data fusion systems (MSDF)
KW  -  distributed out-of-sequence measurements (OOSM)
KW  -  diffusion-based DKF.
ER  -

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