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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2010-01-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Online Access: | http://jwcn.eurasipjournals.com/content/2010/932904 |
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> |
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ISSN: | 1687-1472 1687-1499 |