A Novel Analytical Method for Maximum Likelihood detection in MIMO Multiplexing Systems

Peng, Wei, Ma, Shaodan, Ng, Tung-Sang, Wang, Jiangzhou (2009) A Novel Analytical Method for Maximum Likelihood detection in MIMO Multiplexing Systems. IEEE Transactions on Communications, 57 (8). pp. 2264-2268. ISSN 0090-6778. (doi:10.1109/TCOMM.2009.08.70432) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:23413)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://dx.doi.org/10.1109/TCOMM.2009.08.70432

Abstract

This letter addresses the problem of symbol error probability (SEP) analysis for maximum likelihood (ML) detection in multiple-input multiple-output (MIMO) multiplexing systems. A new analytical method is presented based on the Total Probability Theorem. The effects of imperfect channel estimation and power allocation scheme is demonstrated by Monte-Carlo simulations. It is shown that the analytical results match quite well with the simulation ones irrespective of the signal-to-noise ratio (SNR).

Item Type:	Article
DOI/Identification number:	10.1109/TCOMM.2009.08.70432
Uncontrolled keywords:	MIMO, maximum likelihood detection, performance analysis, imperfect channel estimation
Subjects:	T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5103.4 Broadband communication systems
Institutional Unit:	Schools > School of Engineering, Mathematics and Physics > Engineering
Former Institutional Unit:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	J. Harries
Date Deposited:	20 Nov 2009 11:37 UTC
Last Modified:	20 May 2025 10:34 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/23413 (The current URI for this page, for reference purposes)

University of Kent Author Information

Wang, Jiangzhou.

Creator's ORCID:	https://orcid.org/0000-0003-0881-3594
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