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Reseach Article

Sphere Detection Technique: An Optimum Detection Scheme for MIMO System

by Prajapati Rajeev, Adhikari Prabhat, Lama Norsang
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 2
Year of Publication: 2014
Authors: Prajapati Rajeev, Adhikari Prabhat, Lama Norsang
10.5120/17498-8036

Prajapati Rajeev, Adhikari Prabhat, Lama Norsang . Sphere Detection Technique: An Optimum Detection Scheme for MIMO System. International Journal of Computer Applications. 100, 2 ( August 2014), 25-29. DOI=10.5120/17498-8036

@article{ 10.5120/17498-8036,
author = { Prajapati Rajeev, Adhikari Prabhat, Lama Norsang },
title = { Sphere Detection Technique: An Optimum Detection Scheme for MIMO System },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 2 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 25-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number2/17498-8036/ },
doi = { 10.5120/17498-8036 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:28:54.020108+05:30
%A Prajapati Rajeev
%A Adhikari Prabhat
%A Lama Norsang
%T Sphere Detection Technique: An Optimum Detection Scheme for MIMO System
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 2
%P 25-29
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, various multiple input and multiple output (MIMO) detection techniques have been compared on the basis of BER performance and complexity. Maximum likelyhood (ML) detection method has shown optimal solution in MIMO systems compared to conventional detection techniques. However, higher receiver complexity leads to use of lower complexity techniques such as zero forcing (ZF) and minimum mean square error (MMSE) having relatively poor performance. Successive interference cancellation combined with ZF or MMSE has much improved performance but vulnerable to error propagation. Ordered succesive interference cancellation with MMSE (MMSE-OSIC) has reduced error propagation probability and gave the better performance. A new detection technique sphere detection (SD) based on Schnorr-Euchner enumeration has provided ML solution with much less computational complexity. For simulation, Rayleigh channel model has been considered.

References
  1. R. Prajapati, N. Lama, S. Bhandari, R. Rijal, "Adaptive Modulation in MIMO System", Proceedings of 7th International Conference on Software, Knowledge, Information Management and Applications (SKIMA2013), Chiang Mai University, Thailand, December 2013
  2. R. Gupta and A. Grover, "BER performance analysis of MIMO systems using equalization techniques," Innovative Systems Design and Engineering, vol. 3, no. 10, 2012
  3. T. M. Duman and A. Ghrayeb, "Coding for MIMO communication systems," John Wiley and Sons Inc. , 2007
  4. M. Rupp, G. Gristsch and H. Weinrichter, "Approximate ML detection for MIMO systems with very low complexity," Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference, Vol. 4, pp 809-812, 2004
  5. Y. H. Kim, B. Y. Cho and J. Y. Kim, "Wireless communication: trend andtechnical issues for MIMO-OFDM system," Advanced Trends in Wireless Communications, 2011
  6. B. Holter, "On the capacity of the MIMO channel- A tutorial introduction," Norwegian University of Science and Technology, 2002
  7. L. G. Barbero and J. S. Thompson, "Performance of the Complex Sphere Decoder in Spatially Correlated MIMO Channels", Institute for Digital Communications. The University of Edinburgh, 2006
  8. Y. S. Cho, J. Kim, W. Y. Yang and C. G. Kang, "MIMO-OFDM Wireless Communications with MATLAB," John Wiley and Sons Inc. , 2010
  9. D. Wibben, R. Bohnke, V. Kuhn and K. D. Kammeyer, "Near-Maximum Likelihood detection of MIMO systems using MMSE-Based Lattice-Reduction," University of Bremen,2004
  10. G. Birlew, "Performance evaluation of a layered space-time structure for MIMO systems," Addis Ababa University, July 2011
  11. G. Tsoulos, "MIMO system technology for wireless communications," CRC press, pp 105-108, 2006
Index Terms

Computer Science
Information Sciences

Keywords

Multiple Input and Multiple Output (MIMO) System Zero Forcing (ZF) Minimum Mean Square Error (MMSE) Successive Interference Cancellation (SIC) Maximum Likelihood (ML) Sphere Decoder