Time-varying phase noise and channel estimation in MIMO systems
Paper i proceeding, 2012

Performance of high speed communication systems is negatively affected by oscillator phase noise (PN). In this paper joint estimation of channel gains and Wiener PN in multi-input multi-output (MIMO) systems is analyzed. The signal model for the estimation problem is outlined in detail. In order to reduce overhead, a low complexity data-aided least-squares (LS) estimator for jointly obtaining the channel gains and PN parameters is derived. In order to track PN processes over a frame, a new decision-directed extended Kalman filter (EKF) is proposed. Numerical results show that the proposed LS and EKF based PN estimator performances are close to the CRLB and simulation results indicate that by employing the proposed estimators the bit-error rate (BER) performance of a MIMO system can be significantly improved in the presence of PN.

base-station coordination

scheduling

power control

multi-cell joint transmission

OFDMA

Författare

Hani Mehrpouyan

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Ali Arshad Nasir

Australian National University

Thomas Eriksson

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Steven D. Blostein

Queen's University, Kingston

G. K. Karagiannidis

Aristotle University of Thessaloniki

Tommy Svensson

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

560-564 6292972

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

DOI

10.1109/SPAWC.2012.6292972

ISBN

978-1-4673-0970-7

Mer information

Senast uppdaterat

2018-02-26