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Call for Paper - May 2015 Edition
IJCA solicits original research papers for the May 2015 Edition. Last date of manuscript submission is April 20, 2015. Read More

Sphere Detection Technique: An Optimum Detection Scheme for MIMO System

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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.

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