A Bayesian Multiuser Detection Algorithm for MIMO-ODFM Systems Affected by Multipath Fading, Carrier Frequency Offset, and Phase Noise

We derive a novel Bayesian algorithm for multiuser detection in the uplink of a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system employing stacked space-time block codes, such as the stacked Alamouti code with two transmit antennas, and a stacked quasi-o...

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Bibliographic Details
Published in:IEEE journal on selected areas in communications Vol. 26; no. 3; pp. 506 - 516
Main Authors: Merli, F.Z., Xiaodong Wang, Vitetta, G.M.
Format: Journal Article
Language:English
Published: New York IEEE 01.04.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Antennas
Bayesian analysis
Bayesian methods
Block codes
Carrier frequencies
Computer simulation
Fading
Frequency estimation
Impulse response
MIMO
Monte Carlo methods
Multiuser detection
Noise
OFDM
Phase estimation
Phase noise
Transmitting antennas
ISSN:0733-8716, 1558-0008
Online Access:Get full text
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Summary:We derive a novel Bayesian algorithm for multiuser detection in the uplink of a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system employing stacked space-time block codes, such as the stacked Alamouti code with two transmit antennas, and a stacked quasi-orthogonal code with four transmit antennas. The proposed technique accomplishes joint estimation of the carrier frequency offset, phase noise, channel impulse response and data of each active user. Its derivation relies on the specific structure of the transmitted signal and on efficient Markov chain Monte Carlo (MCMC) methods. Simulation results evidence the robustness of the proposed algorithm in both uncoded and coded systems.
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ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2008.080409