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Reseach Article

Performance Enhancement of Improved K-best Decoder using Gold Code for MIMO System

by V.Tamizhamuthu, R.Ramya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 3
Year of Publication: 2011
Authors: V.Tamizhamuthu, R.Ramya
10.5120/2928-3875

V.Tamizhamuthu, R.Ramya . Performance Enhancement of Improved K-best Decoder using Gold Code for MIMO System. International Journal of Computer Applications. 24, 3 ( June 2011), 39-42. DOI=10.5120/2928-3875

@article{ 10.5120/2928-3875,
author = { V.Tamizhamuthu, R.Ramya },
title = { Performance Enhancement of Improved K-best Decoder using Gold Code for MIMO System },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 3 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 39-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number3/2928-3875/ },
doi = { 10.5120/2928-3875 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:03.186485+05:30
%A V.Tamizhamuthu
%A R.Ramya
%T Performance Enhancement of Improved K-best Decoder using Gold Code for MIMO System
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 3
%P 39-42
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A multiple-input-multiple-output (MIMO) system can be implemented to enhance the capacity of a wireless link. The optimal decoder is based on the maximum likelihood principle. But as the number of the antennas in the system and the data rates increase, the maximum likelihood decoder becomes too complex to use. Examples of less complex decoding techniques are sphere decoder and K-best decoders have been implemented at the price of reduced performance at the receiver. In this work, a new type of decoding algorithm called improved K-best decoding algorithm is combined with the gold code which approaches near-maximum-likelihood performance for multiple-input–multiple-output detection. In computer simulations, it will be shown that the decoder with the improved algorithm has the performance nearer to ML decoder without increase in the decoding complexity.

References
  1. Helmut Blcskei and Arogyaswami J. Paulraj, “Multiple-input multiple -output (MIMO) wireless systems”, pp. 90.1–90.14, 2002.
  2. Hochwald and S. Brink, “Achieving near-capacity on a multiple-antenna channel,” IEEE Trans. Commun., vol. 51, no. 3, pp. 389–399Mar. 2003.
  3. H. J. Tarokh, V. and A. R. Calderbank, “Space time block codes from orthogonal designs”, IEEE Transactions on Information Theory, vol. 45, no. 5, 1999.
  4. X.-B. Liang, “A High-Rate Orthogonal Space-Time Block Code”, IEEE Communications Letters, vol. 7, pp. 222-223, May 2003.
  5. Ouertani, R.; Saadani, A.; Othman, G.R.-B.; Belfiore, J.-C.; “On the Golden Code Performance for MIMO-HSDPA System”, Vehicular Technology Conference- IEEE 64th, Sept. 2006, pp. 1-5.
  6. E. Argell, E. Eriksson, A. Vardy, and K. Zeger, “Closest point search in lattices,” IEEE Trans. Inf. Theory, vol. 48, no. 8, pp. 2201–2214, Aug. 2002.
  7. M. O. Damen, H. E. Gamal, and N. C. Beaulieu, “On maximum-likelihood detection and the search for the closest lattice point,” IEEE Trans. Inf. Theory, vol. 49, no. 10, pp. 2372–2388, Oct. 2003.
  8. Z. Guo and P. Nilsson, “A VLSI architecture of the Schnorr-Euchner decoder for MIMO systems,” in Proc. IEEE 6th CAS Symp. Emerging Technol.: Frontiers of Mobile and Wireless Communication, Shanghai, China, Jun. 2004, pp. 65–68.
  9. A. Burg , M. Borgmann, M. Wenk, M. Zellweger, W. Fichtner, and H. Bolcskei, “VLSI implementation of MIMO detection using the sphere decoding algorithm,” IEEE Journal of Solid-State Circuits, vol. 40, July 2005, pp. 1566-1577.
  10. B. Hassibi and H. Vikalo, “On the expected complexity of sphere decoding,” in Proc. Asilomar Conf. Signals, Syst., Comput,, 2001, pp. 1051–1055.
  11. A. M. Chan and I. Lee, “A New Reduced Complexity Sphere Decoder for Multiple Antenna Systems," IEEE International Conference on Communications, vol. 1, pp. 460-464,2002.
  12. Chung-An Shen, Eltawil A.M, Mondal .S and Salama .K.N, “A best-first tree-searching approach for ML decoding in MIMO system” ,in Proc. IEEE Int. Conf. Commun., May 30 2010,pp. 3533 – 3536.
  13. A. D. Murugan, H. El Gamal, M. O. Damen, and G. Caire, “A unified framework for tree search decoding: Rediscovering the sequential decoder,” IEEE Trans. Inf. Theory, vol. 52, no. 3, pp. 933–953, Mar2006.
  14. Zhan Guo and Peter Nilsson, “Algorithm and Implementation of the K-Best Sphere Decoding for MIMO Detection”, in IEEE Commun., Journal, March 2006, pp., 491-501.
  15. Pei-Yun Tsai and Xing-Cheng Lin, “Improved K-best Sphere Decoder with a Look-ahead Technique for Multiple-Input Multiple-Output Systems”, in Proc. IEEE Int. Conf. Commun., May 2008,pp. 978 – 982.
Index Terms

Computer Science
Information Sciences

Keywords

MIMO Maximum likelihood K-best decoder Gold code