Variational Bayesian Framework for Receiver Design in the Presence of Phase Noise in MIMO Systems
Paper in proceeding, 2012

In this work, the problem of receiver design for phase noise estimation and data detection in the presence of oscillator phase noise in a point-to-point multiple-input multiple-output (MIMO) system is addressed. First, we discuss some interesting and challenging aspects in receiver design for MIMO systems in the presence of Wiener phase noise. Then, using the variational Bayesian (VB) framework, a joint iterative phase noise estimator and symbol detector are developed based on inverse Gibbs or variational free energy maximization. Further, the symbol error probability (SEP) of the newly proposed iterative scheme is compared with the optimal ML detector with perfect phase information for 16-PSK and 16-QAM modulation schemes.

Author

Rajet Krishnan

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

M Reza Khanzadi

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Lennart Svensson

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Thomas Eriksson

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Tommy Svensson

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

IEEE Wireless Communications and Networking Conference, WCNC

15253511 (ISSN)

347-352 6214388
978-146730437-5 (ISBN)

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

DOI

10.1109/WCNC.2012.6214388

ISBN

978-146730437-5

More information

Created

10/7/2017