NDLI: Distributed collaborative parameter estimation based on bias compensation

Content Provider	IEEE Xplore Digital Library
Author	Shuo Wang Li-Juan Jia Chao-Ping Dou
Copyright Year	2014
Description	Author affiliation: Dept. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China (Shuo Wang; Li-Juan Jia; Chao-Ping Dou)
Abstract	This paper presents the study of the problem of distributed parameter estimation by bias compensated recursive least squares (BCRLS) algorithm over adaptive networks. The nodes in the distributed network have a common objective to estimate parameter vector in a collaborative strategy. Traditional recursive least squares (RLS) estimator is biased in case that both the regressor and the output response are corrupted by stationary additive noise. A real-time estimation algorithm of noise variance is proposed, which nodes get the estimation of objective parameter bias. Based on collaborative strategy, we propose a diffusion bias compensated recursive least-squares algorithm. Simulation results show that the BCRLS algorithm has better estimation accuracy than traditional RLS algorithm, and compared with the local estimators, the diffusion BCRLS algorithm has lower mean square error (MSE).
Starting Page	135
Ending Page	138
File Size	872868
Page Count	4
File Format	PDF
ISBN	9781479960583
DOI	10.1109/SOLI.2014.6960707
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	bias compensation diffusion collaborative estimation least-squares noise estimation Radio access networks
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