Time-varying phase noise and channel estimation in MIMO systems

Hani Mehrpouyan*, Ali A. Nasir, Thomas Eriksson, Steven D. Blostein, George K. Karagiannidis, Tommy Svensson

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
    Pages560-564
    Number of pages5
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012 - Cesme, Turkey
    Duration: 17 Jun 201220 Jun 2012

    Publication series

    NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

    Conference

    Conference2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
    Country/TerritoryTurkey
    CityCesme
    Period17/06/1220/06/12

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