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Pilot‐assisted channel estimation with MSE‐optimal thresholding for OFDM systems
Author(s) -
Peng Yuexing,
Alexandropoulos George C.,
Li Yonghui
Publication year - 2016
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.3044
Subject(s) - mean squared error , thresholding , computer science , algorithm , fading , orthogonal frequency division multiplexing , rayleigh fading , channel (broadcasting) , mathematics , statistics , telecommunications , artificial intelligence , image (mathematics)
A transform‐domain (TD) pilot‐assisted channel estimation (PACE) technique to minimize the mean squared error (MSE) performance for orthogonal frequency division multiplexing systems is presented in this paper. The proposed technique utilizes a specially designed pilot pattern, according to which the computationally intensive inverse matrix operation needed to obtain the PACE vector is efficiently replaced by a matrix transposition. Assuming a block frequency‐selective Rayleigh fading channel model, we first analyse the detection reliability of the positions of the most significant taps (MSTs) of the channel impulse response and its effect on the MSE performance of time‐domain PACE. Because the error probability of the MSTs' position estimation plays a significant role in the MSE performance and, as such, all unreliably estimated MSTs should be discarded from the final PACE vector, an MSE‐optimal thresholding approach for MSTs is introduced. With this approach, all estimated MSTs whose amplitude is less than a detection reliability‐based threshold are discarded. A closed‐form expression and a lower bound for the MSE performance of the proposed TD PACE technique with MSE‐optimal thresholding are obtained for block frequency‐selective Rayleigh fading channels. The validity of all derived performance expressions is verified by Monte Carlo simulations. The conducted performance results show that the MSE‐optimal thresholding technique considerably outperforms the existing PACE techniques. Copyright © 2016 John Wiley & Sons, Ltd.