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Real Time Implementation of OFDM System on Tms320c6713

Published on September 2015 by Varsha P.E, Jagadeesh Chandra A.P
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National Conference “Electronics, Signals, Communication and Optimization"
Foundation of Computer Science USA
NCESCO2015 - Number 3
September 2015
Authors: Varsha P.E, Jagadeesh Chandra A.P
225ca8f5-4814-4595-9f88-b3f811fe15d7

Varsha P.E, Jagadeesh Chandra A.P . Real Time Implementation of OFDM System on Tms320c6713. National Conference “Electronics, Signals, Communication and Optimization". NCESCO2015, 3 (September 2015), 1-4.

@article{
author = { Varsha P.E, Jagadeesh Chandra A.P },
title = { Real Time Implementation of OFDM System on Tms320c6713 },
journal = { National Conference “Electronics, Signals, Communication and Optimization" },
issue_date = { September 2015 },
volume = { NCESCO2015 },
number = { 3 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/ncesco2015/number3/22306-5322/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference “Electronics, Signals, Communication and Optimization"
%A Varsha P.E
%A Jagadeesh Chandra A.P
%T Real Time Implementation of OFDM System on Tms320c6713
%J National Conference “Electronics, Signals, Communication and Optimization"
%@ 0975-8887
%V NCESCO2015
%N 3
%P 1-4
%D 2015
%I International Journal of Computer Applications
Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is mainly designed to overcome the effects of multipath reception, by dividing the wideband channel into many narrowband sub-channels. To avoid ISI due to multipath, successive OFDM symbols are separated by guard band. This makes the OFDM system resistant to multi-path effects. This paper describes a real-time implementation of a half-duplex OFDM system using Matlab software Simulink, DSP processor TMS320C6713 and Code Composer Studio. In this approach, Matlab and Simulink are effectively used to develop an OFDM system including transmitter, receiver and an AWGN channel. The graphical environment of Simulink enables the creation of sophisticated algorithms and the Real Time Workshop converts the Simulink model into C code which is ready to be downloaded onto the DSP processor.

References
  1. S. S. Ghorpade, S. V. Sankpal," Behaviour of OFDM System Using MATLAB Simulation", (IJITR) INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND RESEARCH, Volume No. 1, Issue No. 3, April - May 2013.
  2. Deepak Sharma, Praveen Srivastava, "OFDM Simulator Using MATLAB", International Journal of Emerging Technology and Advanced Engineering, Volume 3, Issue 9, September 2013.
  3. Rohith Bodhe, Sathish Narkhede, Shirish Joshi, "Design of simulink model for ofdm and comparison of fft ofdm and dwt-ofdm", International Journal of Engineering Science and Technology (IJEST), Vol. 4 No. 05 May 2012.
  4. Farhan Manzoor, David Linton, Michael Loughlin, "DSP-based Implementation of a Half-Duplex Orthogonal Frequency Division Multiplexing System" ISSC 2012, NUI Maynooth, June 28-29, PP. 1-6, 2012.
  5. The MathWorks, Inc. , Simulink Getting started guide, Revised for Simulink 8. 4
  6. Dr. Seema Verma, Pawan Sharma, Real Time Implementation of OFDM system on DSP Processor, IJIRCCE, Vol. 1, Issue 10, December 2013.
  7. Chien Van Trinh et. al. Implementation of a MIMO-OFDM system based on the TI C64x+ DSPICUIMC(IMCOM)'13, January 17–19,2013, Kota Kinabalu, Malaysia,2013.
  8. TMS320C6713 DSK technical reference, SPECTRUM DIGITAL,INC. ,2004.
  10. The Mathworks Inc. , Matlab and Simulink User's Guide, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Fft Fdm Ifft Ofdm Qam Simulink