Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

Sphere Detection Technique: An Optimum Detection Scheme for MIMO System

Print
PDF
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 100 - Number 2
Year of Publication: 2014
Authors:
Prajapati Rajeev
Adhikari Prabhat
Lama Norsang
10.5120/17498-8036

Prajapati Rajeev, Adhikari Prabhat and Lama Norsang. Article: Sphere Detection Technique: An Optimum Detection Scheme for MIMO System. International Journal of Computer Applications 100(2):25-29, August 2014. Full text available. BibTeX

@article{key:article,
	author = {Prajapati Rajeev and Adhikari Prabhat and Lama Norsang},
	title = {Article: Sphere Detection Technique: An Optimum Detection Scheme for MIMO System},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {100},
	number = {2},
	pages = {25-29},
	month = {August},
	note = {Full text available}
}

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

  • 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
  • R. Gupta and A. Grover, "BER performance analysis of MIMO systems using equalization techniques," Innovative Systems Design and Engineering, vol. 3, no. 10, 2012
  • T. M. Duman and A. Ghrayeb, "Coding for MIMO communication systems," John Wiley and Sons Inc. , 2007
  • 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
  • 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
  • B. Holter, "On the capacity of the MIMO channel- A tutorial introduction," Norwegian University of Science and Technology, 2002
  • 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
  • Y. S. Cho, J. Kim, W. Y. Yang and C. G. Kang, "MIMO-OFDM Wireless Communications with MATLAB," John Wiley and Sons Inc. , 2010
  • 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
  • G. Birlew, "Performance evaluation of a layered space-time structure for MIMO systems," Addis Ababa University, July 2011
  • G. Tsoulos, "MIMO system technology for wireless communications," CRC press, pp 105-108, 2006