IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: EXTENDING APPLICATIONS OF OFDM THROUGH CHANNEL ESTIMATION TECHNIQUES
Authors Name: Usman Gani , Prof. Ankit Kumar
Unique Id: IJSDR2009008
Published In: Volume 5 Issue 9, September-2020
Abstract: Due to its high information transmission capacity, vigor against frequencies-specific flutters and fundamental execution, multiplexing of orthogoon frequencies has achieved significant significance. Mixing OFDM with several antennas, with a sender and a beneficiary variety known as MIMOOFDM, has significantly increased the limit. Yet this system is focused on previous awareness of the recipient's channel status details (CSI). MIMO frameworks use various antennas for transmitting and receiving signals. Channel Estimates the channel parameters for the signal received are to be assessed. Pilot images known to the recipient are used to measure the parameters of the channel. For each product, the channel for product transmission was evaluated independently. Pilot images are should have been embedded into each datum bundle. For remote correspondence frameworks, OFDM which has been as of now associated with numerous remote correspondence models is one of the promising tweak systems on account of its capacity to battle between image interference (ISI) over multipath blurring channels. Transmitter assorted variety is a successful strategy for battling blurring in versatile remote correspondences. A basic and great decent variety strategy utilizing two transmit antennas has been proposed by Alamouti and its different subordinates have been produced. Joining OFDM frameworks with these multiple radio wire procedures, the framework execution and heartiness against blurring can be made strides. Precise channel estimation for OFDM frameworks are required keeping in mind the end goal to demodulate the information reasonably. Pilot-based channel estimation calculations are generally utilized as a part of the writing in view of their dependability and lower unpredictability. There are numerous investigations for the single-input single-yield (SISO) - OFDM case utilizing these calculations. These calculations can't be basically reached out to the multiple reception apparatus situations, since they got signal is the total of the signals transmitted from all the transmit antennas and each sub-channel at the collector is related with multiple channel parameters.
Keywords: Transmitter, OFDM, SISO, transmission capacity, OFDM, MIMO frameworks, antennas
Cite Article: "EXTENDING APPLICATIONS OF OFDM THROUGH CHANNEL ESTIMATION TECHNIQUES", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 9, page no.47 - 51, September-2020, Available :http://www.ijsdr.org/papers/IJSDR2009008.pdf
Downloads: 000337070
Publication Details: Published Paper ID: IJSDR2009008
Registration ID:192422
Published In: Volume 5 Issue 9, September-2020
DOI (Digital Object Identifier):
Page No: 47 - 51
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner