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FFT Factorization Technique for OFDM System

by Tanvi Chawla
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 54 - Number 5
Year of Publication: 2012
Authors: Tanvi Chawla
10.5120/8564-2161

Tanvi Chawla . FFT Factorization Technique for OFDM System. International Journal of Computer Applications. 54, 5 ( September 2012), 36-40. DOI=10.5120/8564-2161

@article{ 10.5120/8564-2161,
author = { Tanvi Chawla },
title = { FFT Factorization Technique for OFDM System },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 54 },
number = { 5 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume54/number5/8564-2161/ },
doi = { 10.5120/8564-2161 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:54:56.855843+05:30
%A Tanvi Chawla
%T FFT Factorization Technique for OFDM System
%J International Journal of Computer Applications
%@ 0975-8887
%V 54
%N 5
%P 36-40
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

For OFDM communication systems, the frequency offsets in mobile radio channels deteriorate the orthogonality between subcarriers resulting in Inter Carrier Interference (ICI). ICI causes power leakage among subcarriers thus degrading the system performance. A well-known problem of OFDM is its sensitivity to frequency offset between the transmitted and received carrier frequencies. This research work investigates three bandwidth efficient methods for combating the effects of ICI: DFT-OFDM algorithm, two path algorithm (TPA) and these three methods are compared in terms of bit error rate performance with Proposed FFT Factorization Technique. Through simulations, it is shown that proposed Technique is much effective in mitigating ICI at high frequency offset. Keywords: Self-cancellation,ICI,BER,CIR

References
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Index Terms

Computer Science
Information Sciences

Keywords

FFT Factorization

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