Bibliographic Review on Distributed Kalman Filtering

Mahmoud, Professor Magdi S. and Khalid , Dr. Haris M. (2013) Bibliographic Review on Distributed Kalman Filtering. [Preprint]

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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.

Item Type:Preprint
Keywords:Distributed Kalman filtering (DKF), Self-tuning (ST) distributed fusion Kalman filter, distributed particle filtering (DPF), distributed consensus (DC)-based estimation, track-to-track fusion, distributed networks (DN), multisensor data fusion systems (MSDF), distributed out-of-sequence measurements (OOSM), diffusion-based DKF.
Subjects:Computer Science > Dynamical Systems
ID Code:8906
Deposited By: Khalid, Dr. Haris M.
Deposited On:04 May 2013 23:06
Last Modified:04 May 2013 23:06


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