Prevoting Cancellation-Based Detection for Underdetermined MIMO Systems

<p/> <p>Various detection methods including the maximum likelihood (ML) detection have been studied for multiple-input multiple-output (MIMO) systems. While it is usually assumed that the number of independent data symbols, <inline-formula> <graphic file="1687-1499-2010-932...

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Bibliographic Details
Main Authors: Chen Chen, Bai Lin, Choi Jinho
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2010/932904
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Summary:<p/> <p>Various detection methods including the maximum likelihood (ML) detection have been studied for multiple-input multiple-output (MIMO) systems. While it is usually assumed that the number of independent data symbols, <inline-formula> <graphic file="1687-1499-2010-932904-i1.gif"/></inline-formula>, to be transmitted by multiple antennas simultaneously is smaller than or equal to that of the receive antennas, <inline-formula> <graphic file="1687-1499-2010-932904-i2.gif"/></inline-formula>, in most cases, there could be cases where <inline-formula> <graphic file="1687-1499-2010-932904-i3.gif"/></inline-formula>, which results in underdetermined MIMO systems. In this paper, we employ the prevoting cancellation based detection for underdetermined MIMO systems and show that the proposed detectors can exploit a full receive diversity. Furthermore, the prevoting vector selection criteria for the proposed detectors are taken into account to improve performance further. We also show that our proposed scheme has a lower computational complexity compared to existing approaches, in particular when slow fading MIMO channels are considered.</p>
ISSN:1687-1472
1687-1499