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

Peng, Wei and Ma, Shaodan and Ng, Tung-Sang and 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 . (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)

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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
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 (inc wireless broadband)
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Broadband & Wireless Communications
Depositing User: J. Harries
Date Deposited: 20 Nov 2009 11:37
Last Modified: 11 Jun 2014 09:12
Resource URI: https://kar.kent.ac.uk/id/eprint/23413 (The current URI for this page, for reference purposes)
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