Title
Modulation Classification for MIMO-OFDM Signals via Approximate Bayesian Inference.
Abstract
The problem of modulation classification for a multiple-antenna (multiple-input multiple-output (MIMO)) system employing orthogonal frequency-division multiplexing (OFDM) is investigated under the assumption of unknown frequency-selective fading channels and signal-to-noise ratio (SNR). The classification problem is formulated as a Bayesian inference task, and solutions are proposed based on Gibbs...
Year
DOI
Venue
2017
10.1109/TVT.2016.2537791
IEEE Transactions on Vehicular Technology
Keywords
DocType
Volume
Modulation,Bayes methods,Receiving antennas,Transmitting antennas,OFDM,Frequency-domain analysis,MIMO
Journal
66
Issue
ISSN
Citations 
1
0018-9545
2
PageRank 
References 
Authors
0.37
20
4
Name
Order
Citations
PageRank
Y. Liu1111.28
Osvaldo Simeone23574264.99
Alexander M. Haimovich361869.28
Wei Su4252.21