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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/25669

Title: OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error
Authors: Gong, Yu
Hong, Xia
Keywords: Orthogonal frequency division multiplexing (OFDM)
Phase noise
Prediction error
Issue Date: 2008
Publisher: © Elsevier
Citation: GONG, Y. and HONG, X., 2008. OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error. Signal Processing, 89 (4), pp. 502-509.
Abstract: This paper proposes a new iterative algorithm for orthogonal frequency division multiplexing (OFDM) joint data detection and phase noise (PHN) cancellation based on minimum mean square prediction error. We particularly highlight the relatively less studied problem of “overfitting” such that the iterative approach may converge to a trivial solution. Specifically, we apply a hard-decision procedure at every iterative step to overcome the overfitting. Moreover, compared with existing algorithms, a more accurate Pade approximation is used to represent the PHN, and finally a more robust and compact fast process based on Givens rotation is proposed to reduce the complexity to a practical level. Numerical simulations are also given to verify the proposed algorithm.
Description: This paper was accepted for publication in the journal Signal Processing and the definitive published version is available at https://doi.org/10.1016/j.sigpro.2008.10.006
Version: Accepted for publication
DOI: 10.1016/j.sigpro.2008.10.006
URI: https://dspace.lboro.ac.uk/2134/25669
Publisher Link: https://doi.org/10.1016/j.sigpro.2008.10.006
ISSN: 0165-1684
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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