Báo cáo hóa học: " Estimation and Direct Equalization of Doubly Selective Channels"

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: Estimation and Direct Equalization of Doubly Selective Channels | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 62831 Pages 1-15 DOI ASP 2006 62831 Estimation and Direct Equalization of Doubly Selective Channels Imad Barhumi 1 Geert Leus 2 and Marc Moonen3 1 Electrical Engineering Department United Arab Emirates University Al-Ain 17555 United Arab Emirates 2 Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 2628CD Delft The Netherlands 3 ESAT SCD-SISTA Katholieke Universiteit Leuven Kasteelpark Arenberg 10 3001 Leuven Belgium Received 15 June 2005 Revised 9 June 2006 Accepted 13 August 2006 We propose channel estimation and direct equalization techniques for transmission over doubly selective channels. The doubly selective channel is approximated using the basis expansion model BEM . Linear and decision feedback equalizers implemented by time-varying finite impulse response FIR filters may then be used to equalize the doubly selective channel where the time-varying FIR filters are designed according to the BEM. In this sense the equalizer BEM coefficients are obtained either based on channel estimation or directly. The proposed channel estimation and direct equalization techniques range from pilot-symbol-assisted-modulation- PSAM- based techniques to blind and semiblind techniques. In PSAM techniques pilot symbols are utilized to estimate the channel or directly obtain the equalizer coefficients. The training overhead can be completely eliminated by using blind techniques or reduced by combining training-based techniques with blind techniques resulting in semiblind techniques. Numerical results are conducted to verily the different proposed channel estimation and direct equalization techniques. Copyright 2006 Imad Barhumi et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original

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