Superimposed training designs for spatially correlated MIMO-OFDM systems

  • Authors:
  • Nguyen N. Tran;Hoang D. Tuan;Ha H. Nguyen

  • Affiliations:
  • Department of Computer and Electronics Engineering, University of Nebraska- Lincoln, Omaha, NE and School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, N ...;School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia;Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada

  • Venue:
  • IEEE Transactions on Wireless Communications
  • Year:
  • 2010

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Abstract

Only one asymptotic training design for a special case of channel correlation was proposed in the literature for spatially correlated multiple-input multiple-output with orthogonal frequency-division multiplexing (MIMO-OFDM) systems. To fill this gap, this letter applies tractable semi-definite programming (SDP) to obtain the optimal superimposed training signals for the general case of channel correlation. For a more efficient computation, two approximate designs are also proposed. Simulation results demonstrate the efficiency of our approach and its advantage over the asymptotic design.