Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Turbo Processing for Joint Channel Estimation, Synchronization, and Decoding in Coded MIMO-OFDM Systems | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2009 Article ID 206524 12 pages doi 2009 206524 Research Article Turbo Processing for Joint Channel Estimation Synchronization and Decoding in Coded MIMO-OFDM Systems Hung Nguyen-Le 1 Tho Le-Ngoc 1 and Chi Chung Ko2 1 Department of Electrical and Computer Engineering Faculty of Engineering McGill University Montreal QC Canada H3A 2K6 2 Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Correspondence should be addressed to Tho Le-Ngoc Received 2 July 2008 Revised 11 November 2008 Accepted 25 December 2008 Recommended by Erchin Serpedin This paper proposes a turbo joint channel estimation synchronization and decoding scheme for coded multiple-input multipleoutput orthogonal frequency division multiplexing MIMO-OFDM systems. The effects of carrier frequency offset CFO sampling frequency offset SFO and channel impulse responses CIRs on the received samples are analyzed and explored to develop the turbo decoding process and vector recursive least squares RLSs algorithm for joint CIR CFO and SFO tracking. For burst transmission with initial estimates derived from the preamble the proposed scheme can operate without the need of pilot tones during the data segment. Simulation results show that the proposed turbo joint channel estimation synchronization and decoding scheme offers fast convergence and low mean squared error MSE performance over quasistatic Rayleigh multipath fading channels. The proposed scheme can be used in a coded MIMO-OFDM transceiver in the presence of multipath fading carrier frequency offset and sampling frequency offset to provide a bit error rate BER performance comparable to that in an ideal case of perfect synchronization and channel estimation over a wide range of SFO values. Copyright 2009 Hung Nguyen-Le et al. This is an open access article distributed under the Creative
