Presentation | 2004/5/14 Low Complexity MLD Signal Detection with MMSE/OSD in MIMO Systems Katsunari HONJO, Tomoaki OHTSUKI, |
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Abstract(in English) | Recently, multiple-input multiple-output (MIMO) systems that realize a high bit rate data transmission with multiple antennas at both transmitter and receiver have drawn much attention for high spectral efficiencies. In MIMO systems Maximum Likelihood Detection (MLD) is known as an optimal method for signal detection. However, the main drawback of the MLD is its high complexity. In this paper, first we propose a reduced complexity signal detection scheme that combines the minimum mean square error (MMSE) detection and the MLD based on the received signal to interference plus noise ratio (SINR). We also propose a reduced complexity signal detection scheme that combines the ordered successive MMSE detection (OSD) and MLD based on the received SINR. We refer to these detection schemes as the MMSE-MLD and the OSD-MLD. Simulation results show that the proposed MMSE-MLD and OSD-MLD can attain almost identical bit error rate (BER) to that of the MLD with less complexity. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | MIMO / Maximum Likelihood Detection / SINR / MMSE / OSD |
Paper # | RCS2004-60 |
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Committee | RCS |
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Conference Date | 2004/5/14(1days) |
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Registration To | Radio Communication Systems (RCS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Low Complexity MLD Signal Detection with MMSE/OSD in MIMO Systems |
Sub Title (in English) | |
Keyword(1) | MIMO |
Keyword(2) | Maximum Likelihood Detection |
Keyword(3) | SINR |
Keyword(4) | MMSE |
Keyword(5) | OSD |
1st Author's Name | Katsunari HONJO |
1st Author's Affiliation | Graduate School of Science and Technology, Tokyo University of Science() |
2nd Author's Name | Tomoaki OHTSUKI |
2nd Author's Affiliation | Faculty of Science and Technology, Tokyo University of Science |
Date | 2004/5/14 |
Paper # | RCS2004-60 |
Volume (vol) | vol.104 |
Number (no) | 63 |
Page | pp.pp.- |
#Pages | 6 |
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