NDLI: Low complexity SDNLMS Adaptive Channel Estimation for MIMO-OFDM systems

Content Provider	IEEE Xplore Digital Library
Author	Dewan, T.A. Hasan, S. Hossain, F.
Copyright Year	2014
Description	Author affiliation: Khulna Univ. of Eng. & Technol., Khulna, Bangladesh (Dewan, T.A.; Hasan, S.; Hossain, F.)
Abstract	Channel Estimation process is an important technical issue for Multiple Input Multiple Output (MIMO)-Orthogonal Frequency Domain Multiplexing (OFDM) wireless communication systems. Adaptive Channel Estimation (ACE) is a widely used estimation technique for MIMO-OFDM systems. Different types of channel estimator like least mean square (LMS), normalized least square (NLMS) are applied to ACE. LMS algorithm has low complexity but it suffers from high minimum mean square error (MMSE) performance. Normalized least mean square algorithm (NLMS) provides low MMSE performance with poor convergence rate. In this paper, an improved sign data normalized least mean square (SDNLMS) channel estimation technique is proposed which improves the convergence rate and computational complexity of NLMS algorithm, while maintaining low MMSE performance for channel estimation (CE). Simulation results show that SDNLMS CE method provides faster convergence rate with low MMSE and computational complexity, which is clearly better than NLMS and LMS method in a MIMO-OFDM system. Therefore SDNLMS CE method can be highly compatible for ACE process.
Sponsorship	IEEE Bangladesh Sect. ED/SSC Joint Chapt.
Starting Page	1
Ending Page	5
File Size	249529
Page Count	5
File Format	PDF
e-ISBN	9781479922994
DOI	10.1109/EICT.2014.6777867
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-13
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	SDNLMS NLMS Adaptive systems Least squares approximations LMS OFDM Channel estimation MIMO Computational complexity Convergence
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

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