NDLI: Full order distributed particle filters for intermittent connections: Feedback from fusion filters to local filters improves performance

Content Provider	IEEE Xplore Digital Library
Author	Mohammadi, A. Asif, A.
Copyright Year	2012
Description	Author affiliation: Computer Science and Engineering, York University, Toronto, ON, Canada (Mohammadi, A.; Asif, A.)
Abstract	In [1, 2], we proposed a consensus/fusion based distributed implementation of the particle filter (CF/DPF) for non-linear systems with non-Gaussian excitation and intermittent communication connectivity. To recap, the CF/DPF implemented two filters at each node: (i) A localized particle filter based only on the host node's observations, and; (ii) A separate consensus-based filter (fusion filter) to fuse together the local filters' densities for estimating the global posterior in a distributed fashion. At each sensor node, the fusion filter provides the overall state estimates. The paper extends the CF/DPF framework by incorporating feedback from the fusion filter back to the local particle filter - a proposed enhancement to the original CF/DPF. No additional communication overhead is needed for the feedback modified CF/DPF (FCF/DPF), which exhibits improved overall performance over the CF/DPF in highly noisy Monte-Carlo simulations.
Starting Page	524
Ending Page	527
File Size	452614
Page Count	4
File Format	PDF
ISBN	9781467301824
e-ISBN	9781467301817
DOI	10.1109/SSP.2012.6319749
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Particle filters Vectors Proposals Signal to noise ratio Estimation Data fusion Distributed estimation Non-linear tracking systems Intermittent connections
Content Type	Text
Resource Type	Article

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

2012 ieee statistical signal processing workshop (ssp) full order distributed particle filters for intermittent connections: feedback from fusion filters to local filters improves performance.

Consensus-based distributed unscented particle filter

Distributed Particle Filter Implementation With Intermittent/Irregular Consensus Convergence

A comparison of particle filters for recursive track-before-detect

A Linear Fusion of the Local Kalman Estimates

Decentralized sensor selection based on the distributed posterior Cramér-Rao lower bound

Distributed Consensus $+$ Innovation Particle Filtering for Bearing/Range Tracking With Communication Constraints

Track-Before-Detect Based on Two-Stage Sampling Particle Filter

A linear adaptive algorithm for data fusion in distributed detection systems

Full order distributed particle filters for intermittent connections: Feedback from fusion filters to local filters improves performance

Similar Documents

2012 ieee statistical signal processing workshop (ssp) full order distributed particle filters for intermittent connections: feedback from fusion filters to local filters improves performance.

Consensus-based distributed unscented particle filter

Distributed Particle Filter Implementation With Intermittent/Irregular Consensus Convergence

A comparison of particle filters for recursive track-before-detect

A Linear Fusion of the Local Kalman Estimates

Decentralized sensor selection based on the distributed posterior Cramér-Rao lower bound

Distributed Consensus $+$ Innovation Particle Filtering for Bearing/Range Tracking With Communication Constraints

Track-Before-Detect Based on Two-Stage Sampling Particle Filter

A linear adaptive algorithm for data fusion in distributed detection systems

Full order distributed particle filters for intermittent connections: Feedback from fusion filters to local filters improves performance