Fast ML Decoding for OSTFBC and QOSTFBC Coded MIMO-OFDM System with Clipping

Abstract

In a clipped MIMO-OFDM system, the overall additive noise, including the clipping distortion, may not be white. In this paper, we develop fast ML decoding algorithms for orthogonal space-time-frequency block codes (OSTFBC) and quasi orthogonal space-time-frequency block codes (QOSTFBC) in clipped MIMO-OFDM systems by using a clipping noise model with Gaussian approximation. By using the statistics of the clipping distortions, our newly proposed fast ML decoding algorithms improve the performance for clipped MIMO-OFDM systems with OSTFBC and QOSTFBC without increasing the decoding complexity. Simulation results are presented to illustrate the improvement.