UGC Approved Journal no 63975(19)

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Published in:

Volume 10 Issue 7
July-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2307471


Registration ID:
521447

Page Number

e662-e668

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Title

Enhanced Semi-Blind Sparse Channel Estimation Technique for MIMO-OFDM System

Abstract

OFDM (Orthogonal Frequency Division Multiplexing) can be viewed either as a modulation or multiplexing technique. It is a special case of multicarrier transmission, where a single data stream is transmitted over a number of lower rate subcarriers. Increased robustness against frequency selective fading or narrowband interference is the primary benefit of using OFDM. MIMO (Multiple-input Multiple-output) is one of the smart antenna technology which uses multiple antennas at the transmitter and receiver side to increase the performance of the system. When paired with the OFDM technology, a MIMO communication system can deliver dependable high data rate transmission over broadband wireless channels. A wireless channel can be modeled as a sparse channel, in which the delay spread could be very large. Channel estimation is of crucial importance to MIMO-OFDM because the system performance depends on the quality of channel estimate. Channel estimation techniques can be categorized into three classes: training-based, blind and semi-blind methods. The common problem of the sparse channel estimation methods is that a large number of pilots are needed in order to render an accurate MST (Most Significant Taps) detection and effective channel estimation. An efficient semi- blind sparse channel estimation which combines the blind constraint with training based least square criterion for improving the system performance is to be estimated. For that it requires only a small number of OFDM symbols and pilot subcarriers.

Key Words

Most Significant Taps (MST), multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM), semi-blind estimation, sparse channel estimation.

Cite This Article

"Enhanced Semi-Blind Sparse Channel Estimation Technique for MIMO-OFDM System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.e662-e668, July-2023, Available :http://www.jetir.org/papers/JETIR2307471.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Enhanced Semi-Blind Sparse Channel Estimation Technique for MIMO-OFDM System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppe662-e668, July-2023, Available at : http://www.jetir.org/papers/JETIR2307471.pdf

Publication Details

Published Paper ID: JETIR2307471
Registration ID: 521447
Published In: Volume 10 | Issue 7 | Year July-2023
DOI (Digital Object Identifier):
Page No: e662-e668
Country: Puducherry, Puducherry, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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