Accessibility navigation


OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error

Gong, Y. and Hong, X. (2009) OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error. Signal Processing, 89 (4). pp. 502-509. ISSN 0165-1684

Full text not archived in this repository.

To link to this article DOI: 10.1016/j.sigpro.2008.10.006

Abstract/Summary

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. (C) 2008 Elsevier B.V. All rights reserved.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:15237
Uncontrolled Keywords:Orthogonal frequency division multiplexing (OFDM), Phase noise, Prediction error, OPTIMUM RECEIVER DESIGN, SYSTEMS

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation