Proposed distributed kalman filter

Ahmed Abdelgawad; Magdy Bayoumi

doi:10.1007/978-1-4614-1350-9_5

Proposed distributed kalman filter

Ahmed Abdelgawad, Magdy Bayoumi

Engineering & Technology, School Of

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

In this chapter, the DKF problem is addressed by reducing it into a dynamic consensus problem in term of weighted average estimates matrix that can be viewed as data fusion problem. We have presented a Distributed Kalman Filter based on polynomial filter to accelerate the distributed average consensus in the static network topologies. The proposed algorithm performs closely to the central filter, and also reduces the filter complexity at each node by reducing the dimension of the data. Thus, it scales computational complexity. Being based on sending only the estimates between neighbors, it also reduced radically the communication requirements. The proposed DKF contributes to significant energy saving.

Original language	English
Title of host publication	Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Publisher	Springer Verlag
Pages	77-90
Number of pages	14
ISBN (Print)	9781461413493
DOIs	https://doi.org/10.1007/978-1-4614-1350-9_5
State	Published - 2012

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	118 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

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Cite this

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Proposed distributed kalman filter

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