NDLI: Distributed fusion Kalman filtering with communication constraints

Content Provider	IEEE Xplore Digital Library
Author	Bo Chen Li Yu Wen-An Zhang Haiyu Song
Copyright Year	2013
Description	Author affiliation: Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China (Bo Chen; Li Yu; Wen-An Zhang; Haiyu Song)
Abstract	This paper is concerned with the distributed Kalman filtering problem for a class of networked multi-sensor fusion systems (NMFSs) under the assumptions that (i) distributed sensors have computation capabilities, (ii) the communication between the sensors and the fusion center (FC) is subject to finite communication bandwidth. The communication bandwidth constraint considered is that only partial components of the local vector estimation signals are allowed to be transmitted to the FC at a particular time, and multiple binary variables are introduced to model this component transmitting process. A novel compensation strategy is proposed to restructure the local estimation signal at the FC end, and a recursively distributed fusion kalman filter (DFKF) is designed in the linear minimum variance sense from the restructured local unbiased-estimators. It is shown that the mean-square error (MSE) of the designed DFKF is dependent on the introduced binary variables, and a simply suboptimal judgement criterion is proposed to determine a group of binary variables such that MSE of the designed DFKF is minimal at each time step.
Starting Page	3852
Ending Page	3857
File Size	148034
Page Count	6
File Format	PDF
ISBN	9781479901777
ISSN	07431619
e-ISBN	9781479901784
DOI	10.1109/ACC.2013.6580427
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Bandwidth Covariance matrices Optimization Communication networks Kalman filters Estimation error
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Distributed Finite-Horizon Fusion Kalman Filtering for Bandwidth and Energy Constrained Wireless Sensor Networks

Optimal Distributed Kalman Filtering Fusion With Singular Covariances of Filtering Errors and Measurement Noises

Optimal Distributed Kalman Filtering Fusion Algorithm Without Invertibility of Estimation Error and Sensor Noise Covariances

SO(3)-constrained Kalman filtering with application to attitude estimation

Distributed ensemble Kalman filter for multisensor application

Information Fusion Estimation for spatially distributed cyber-physical systems with communication delay and bandwidth constraints

Distributed Kalman filtering based on quantized innovations

Data fusion with packet loss

Adaptive data fusion

Distributed fusion Kalman filtering with communication constraints

Similar Documents

Distributed Finite-Horizon Fusion Kalman Filtering for Bandwidth and Energy Constrained Wireless Sensor Networks

Optimal Distributed Kalman Filtering Fusion With Singular Covariances of Filtering Errors and Measurement Noises

Optimal Distributed Kalman Filtering Fusion Algorithm Without Invertibility of Estimation Error and Sensor Noise Covariances

SO(3)-constrained Kalman filtering with application to attitude estimation

Distributed ensemble Kalman filter for multisensor application

Information Fusion Estimation for spatially distributed cyber-physical systems with communication delay and bandwidth constraints

Distributed Kalman filtering based on quantized innovations

Data fusion with packet loss

Adaptive data fusion

Distributed fusion Kalman filtering with communication constraints