tailieunhanh - Báo cáo hóa học: " A Low-Complexity Time-Domain MMSE Channel Estimator "

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: A Low-Complexity Time-Domain MMSE Channel Estimator | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 39026 Pages 1-14 DOI ASP 2006 39026 A Low-Complexity Time-Domain MMSE Channel Estimator for Space-Time Frequency Block-Coded OFDM Systems Habib Senol 1 Hakan Ali Cirpan 2 Erdal Panayirci 3 and Mesut Cevik2 1 Department of Computer Engineering KadirHas University Cibali 34230 Istanbul Turkey 2 Department of Electrical Engineering Istanbul University Avcilar 34850 Istanbul Turkey 3 Department of Electrical and Electronics Engineering Bilkent University Bilkent 06800 Ankara Turkey Received 1 June 2005 Revised 8 February 2006 Accepted 18 February 2006 Focusing on transmit diversity orthogonal frequency-division multiplexing OFDM transmission through frequency-selective channels this paper pursues a channel estimation approach in time domain for both space-frequency OFDM SF-OFDM and space-time OFDM ST-OFDM systems based on AR channel modelling. The paper proposes a computationally efficient pilot-aided linear minimum mean-square-error MMSE time-domain channel estimation algorithm for OFDM systems with transmitter diversity in unknown wireless fading channels. The proposed approach employs a convenient representation of the channel impulse responses based on the Karhunen-Loeve KL orthogonal expansion and finds MMSE estimates of the uncorrelated KL series expansion coefficients. Based on such an expansion no matrix inversion is required in the proposed MMSE estimator. Subsequently optimal rank reduction is applied to obtain significant taps resulting in a smaller computational load on the proposed estimation algorithm. The performance of the proposed approach is studied through the analytical results and computer simulations. In order to explore the performance the closed-form expression for the average symbol error rate SER probability is derived for the maximum ratio receive combiner MRRC . We then consider the stochastic Cramer-Rao lower bound CRLB and derive the

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