• DocumentCode
    109115
  • Title

    Pilot Design for Vector State-Scalar Observation Kalman Channel Estimators in Doubly-Selective MIMO-OFDM Systems

  • Author

    Muralidhar, K. ; Sreedhar, D.

  • Volume
    2
  • Issue
    2
  • fYear
    2013
  • fDate
    Apr-13
  • Firstpage
    147
  • Lastpage
    150
  • Abstract
    Vector state-scalar observation (VSSO) Kalman channel estimators for doubly-selective OFDM systems (DS-OFDM) result in complexity savings of 90% without any loss of performance, as compared to vector state-vector observation (VSVO) Kalman estimators. In this letter, we present the VSSO Kalman channel estimator for doubly-selective multiple-input multiple-output OFDM (DS-MIMO-OFDM) systems. Unlike the VSSO estimator in a DS-OFDM system, where all the pilot symbols had the same value, the pilot symbols need to be designed in a specific way to enable the feasibility of a VSSO estimator for a DS-MIMO-OFDM system. We derive a sufficient condition called as VSSO Kalman-filter condition (VSSO-KFC) that needs to be satisfied by the pilot-pattern design for the feasibility of the VSSO Kalman estimator. We comment, and compare, the proposed pilot pattern with that of Barhumi´s and Dai´s pilot pattern. A new scheme is introduced, based on the proposed pilot pattern and VSSO Kalman filter, that increases the spectral efficiency compared to a conventional system.
  • Keywords
    Kalman filters; MIMO communication; OFDM modulation; channel estimation; DS MIMO OFDM system; VSSO Kalman channel estimator; VSSO Kalman filter condition; complexity savings; doubly selective MIMO OFDM system; doubly selective multiple input multiple output OFDM system; pilot design; pilot pattern design; pilot symbol; spectral efficiency; vector state scalar observation Kalman channel estimators; Channel estimation; Doppler effect; Kalman filters; OFDM; Receiving antennas; Transmitting antennas; Vectors; BEM; ICI; Kalman; MIMO and OFDM;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/WCL.2012.121812.120767
  • Filename
    6399493