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Performance Analysis of MIMO-OFDM System using Space-time Turbo Codes and Adaptive Beamforming

by Suchita Varade, Kishore Kulat
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 3
Year of Publication: 2011
Authors: Suchita Varade, Kishore Kulat
10.5120/2563-3524

Suchita Varade, Kishore Kulat . Performance Analysis of MIMO-OFDM System using Space-time Turbo Codes and Adaptive Beamforming. International Journal of Computer Applications. 22, 3 ( May 2011), 27-32. DOI=10.5120/2563-3524

@article{ 10.5120/2563-3524,
author = { Suchita Varade, Kishore Kulat },
title = { Performance Analysis of MIMO-OFDM System using Space-time Turbo Codes and Adaptive Beamforming },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 3 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number3/2563-3524/ },
doi = { 10.5120/2563-3524 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:28.220915+05:30
%A Suchita Varade
%A Kishore Kulat
%T Performance Analysis of MIMO-OFDM System using Space-time Turbo Codes and Adaptive Beamforming
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 3
%P 27-32
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper aims at performance analysis of the system which uses space-time turbo codes combined with adaptive beamforming for multiple transmits and receives antennas based orthogonal frequency division multiplexing (OFDM) system. The performance of the proposed technique is tested for two adaptive beamforming algorithms LMS & LLMS. Simulation results demonstrate that the proposed system not only has good ability of suppressing interference, but also significantly improves the bit-error rate (BER) performance of the system. Experimental results show that an adaptive beamforming gives the optimum performance on AWGN channels. This system will also be optimum on fading channels when combined with space–time turbo codes.

References
  1. C. V. Seshaiah, S. Nagarani “A Survey on Space-Time Turbo Codes” IJCSIS, Vol. 7 No. 3, March 2010, 171-177, ISSN 1947 5500J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73.
  2. L. Hanzo, S. X. Ng, T. Keller, and W. T. Webb, Quadrature AmplitudeModulation: From Basics to Adaptive Trellis-Coded, Turbo-Equalised and Space-Time Coded OFDM, CDMA and MC-CDMA Systems,3rd ed. Piscataway, NJ: IEEE Press/Wiley,2004.
  3. R. V. Nee and R. Prasad, OFDM for Wireless Multimedia Communications. London, U.K.:Artech House, 2000.
  4. J. A. C. Bingham, BMulticarrier modulation for data transmission: An idea whose time has come,[ IEEE Commun. Mag., vol. 28,no. 5, pp. 5–14, May 1990.
  5. W. C. Chung, N. J. Aug., and D. S. Ha, BSignaling and multiple access techniques for ultra wideband 4G wireless communication systems Wireless Commun., vol. 12, pp. 46–55, Apr. 2005.
  6. L. Hanzo, T. H. Liew, and B. L. Yeap,Turbo Coding, Turbo Equalisation and Space-Time Coding for Transmission Over Fading Channels. Piscataway, NJ: IEEE Press/Wiley, 2002.
  7. J. H. Winters, B Optimum combining in digital mobile radio with with cochannel interference,[ IEEE J. Sel. Areas Commun.,vol. SAC-2, no. 4, pp. 528–539, Jul. 1984
  8. J. H. Winters, BOn the capacity of radio communication systems with diversity in a Rayleigh fading environment, IEEE J. Sel. Areas Commun., vol. SAC-5, no. 5,pp. 871–878, Jun. 1987
  9. S. Ng and L. Hanzo, BOn the MIMO channelcapacity of multi-dimensional signal sets,[ in Proc. 60th IEEE Conf. Vehicular Technology,Sep. 2006, vol. 3, pp. 1594–1598.
  10. L. Hanzo, M. Mu¨nster, B. J. Choi, and T. Keller, OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting. Piscataway, NJ:IEEE Press/Wiley, 2003 S. M. Alamouti, BA simple transmit diversity technique for wireless communications,[IEEE J. Sel. Areas Commun., vol. 16, no. 8,pp. 1451–1458, Oct. 1998.
  11. V.Tarokh, A. Naguib, N. Seshadri, and A. R. Calderbank, BSpace time codes for high data rate wireless communication: Performance criteria in the presence of channel estimation errors, mobility, and T. multiple paths, IEEE Trans.Commun.,vol. 47, no. 2, pp. 199–207, Feb1999
  12. T.-H. Liew and L. Hanzo, BSpace-time trellis and space-time block coding versus adaptive modulation and coding aided OFDM for wideband channels, IEEE Trans. Veh.Technol., vol. 55, no. 1, pp. 173–187, Jan. 2006
  13. J. Blogh and L. Hanzo. (2002).Third-Generation Systems and Intelligent Networking. Piscataway, NJ, IEEE Press/Wiley. [Online]. Available: http://www-mobile.ecs.soton.ac.uk.
  14. Datacomm Research Company, Using MIMO-OFDM Technology to Boost Wireless LAN Performance Today, White Paper,St. Louis, MO, Jun. 2005.
  15. H. Sampath, S. Talwar, J. Tellado, V. Erceg,and A. J. Paulraj, BA fourth-generation MIMO-OFDM broadband wireless system:Design, performance, and field trial results, IEEE Commun. Mag., vol.40, no.9,pp. 143–149, Sep. 2002.
  16. V. Tarokh, N. Seshadri, and A. R. Calderbank, Sspace-time block codes from orthogonal designs", IEEE Trans. on IT, Vol. 45, pp. 1456-1467, July 1999
  17. S. M. Alamouti, "A simple transmit diversity technique for wireless Communications", IEEE JSAC, Vol. 16, No. 8, pp. 1451-1458, October 1998.
  18. G.Jongren,M.Skoglund and B. Ottersten, “Combining beamforming and orthogonal space-time block coding,” IEEE Trans. Inf. Theory, vol. 48, pp. 611–627, Mar. 2002.
  19. V. Tarokh, H. Jafarkhani, A.R. Calderbank, “Space-time block coding for wireless communications: Performance results”, IEEE Journal on Selected Areas in Communication,vol.17, pp. 451-460, Mar.
  20. Jalal Abdul sayed SRAR, Kah-Seng CHUNG and Ali MANSOUR “Adaptive Array Beamforming using a Combined LMS-LMS Algorithm” IEEEAC paper#1606, Version 2, Updated 2009:12:27
  21. S.W.Varade & K.D.Kulat “Robust Algorithms for DOA Estimation and Adaptive Beamforming for Smart Antenna Application” International Conference on Emerging Trend in Engineering & Technology (ICETET 2009) at G.H.Raisoni College of Engg.,Nagpur,16-18 Dec.2009
  22. S.W.Varade & K.D.Kulat “Performance Analysis of MVDR Beamformer for Smart Antenna Applications” International Conference on VLSI and Communication(ICVCom-09), Kerela April 16-18, 2009
Index Terms

Computer Science
Information Sciences

Keywords

LMS (least mean squares) LLMS (LMS-LMS) space-time turbo code (STTC) spatial diversity

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