A Training-Based Iterative Detection/Channel Estimation Scheme for Large Non-Orthogonal STBC MIMO Systems

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...

• Type: Conference
• Year: 2009
• Where: ICC
• Authors: Ahmed Zaki, Saif K. Mohammed, Ananthanarayanan Chockalingam, B. Sundar Rajan
• Keywords: Channel Estimation, Channel Estimation Scheme, Communications, ICC 2009, Nt Pilot Matrix