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EM-Based Channel Estimation Algorithms for MIMO Turbo Receivers

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3 Author(s)
Salari, S. ; K.N. Toosi Univ. of Technol., Tehran ; Ahmadian, M. ; Ardebilipour, M.

Multiple-input multiple-output (MIMO) systems combined with orthogonal frequency division multiplexing (OFDM), can improve communication quality and capacity. In this paper, we consider channel estimation issue in a MIMO-OFDM system using low-density parity-check (LDPC) codes at transmitter and iterative detection based on a maximum a posteriori (MAP) demodulator and a soft LDPC decoder at receiver. We first consider a previously proposed solution based on least-square estimator (USE). Since matrix inversion is required in LSE algorithms, their computational cost for implementation is high. Then, we resort to the expectation-maximization (EM)-type algorithms, which significantly reduce the complexity of the channel estimation, and propose a modified turbo receiver for LDPC-coded MIMO-OFDM systems which performs the channel estimation by space alternating generalized EM (SAGE) algorithm. Based on simulation results, the performance of the proposed receiver is quite satisfying.

Published in:

Electrical Engineering, 2007. ICEE '07. International Conference on

Date of Conference:

11-12 April 2007