A training-based iterative detection/channel estimation scheme for large non-orthogonal STBC MIMO systems

  • Authors:
  • Ahmed Zaki;Saif K. Mohammed;A. Chockalingam;B. Sundar Rajan

  • Affiliations:
  • Department of ECE, Indian Institute of Science, Bangalore, India;Department of ECE, Indian Institute of Science, Bangalore, India;Department of ECE, Indian Institute of Science, Bangalore, India;Department of ECE, Indian Institute of Science, Bangalore, India

  • Venue:
  • ICC'09 Proceedings of the 2009 IEEE international conference on Communications
  • Year:
  • 2009

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Abstract

In this paper, we propose a training-based channel estimation scheme for large non-orthogonal space-time block coded (STBC) MIMO systems. The proposed scheme employs a block transmission strategy where an Nt×Nt pilot matrix is sent (for training purposes) followed by several Nt × Nt square data STBC matrices, where Nt is the number of transmit antennas. At the receiver, we iterate between channel estimation (using an MMSE estimator) and detection (using a low-complexity likelihood ascent search (LAS) detector) till convergence or for a fixed number of iterations. Our simulation results show that excellent bit error rate and nearness-to-capacity performance are achieved by the proposed scheme at low complexities. The fact that we could show such good results for large STBCs (e.g., 16×16 STBC from cyclic division algebras) operating at spectral efficiencies in excess of 20 bps/Hz (even after accounting for the overheads meant for pilot-based channel estimation and turbo coding) establishes the effectiveness of the proposed scheme.