Title :
Fast ML Decoding for OSTFBC and QOSTFBC Coded MIMO-OFDM System with Clipping
Author :
Li, Zhefeng ; Xia, Xiang-Gen
Author_Institution :
Univ. of Delaware, Newark
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.
Keywords :
Gaussian processes; MIMO communication; OFDM modulation; block codes; maximum likelihood decoding; modulation coding; space-time codes; Gaussian approximation; ML decoding; additive noise; clipped MIMO-OFDM system; clipping distortion; quasiorthogonal space-time-frequency block code; statistics; Antennas and propagation; Block codes; Decoding; Fading; Frequency diversity; MIMO; OFDM; Peak to average power ratio; Receiving antennas; Transmitting antennas;
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
DOI :
10.1109/GLOCOM.2007.289
