Block transmissions over doubly selective channels: iterative channel estimation and turbo equalization

Authors:
Kun Fang;Luca Rugini;Geert Leus
Affiliations:
Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands;Department of Electronic and Information Engineering, University of Perugia, Perugia, Italy;Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on advanced equalization techniques for wireless communications
Year:
2010

Citing 15
Cited 1

Divide and Conquer for the Solution of Banded Linear Systems of Equations

PDP '96 Proceedings of the 4th Euromicro Workshop on Parallel and Distributed Processing (PDP '96)
Low-complexity banded equalizers for OFDM systems in Doppler spread channels

EURASIP Journal on Applied Signal Processing
Efficient sequence detection of multicarrier transmissions over doubly dispersive channels

EURASIP Journal on Applied Signal Processing
Low-complexity frequency-domain turbo equalization for single-carrier transmissions over doubly-selective channels

ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
On Doubly Selective Channel Estimation Using Superimposed Training and Discrete Prolate Spheroidal Sequences

IEEE Transactions on Signal Processing - Part II
Minimum mean squared error equalization using a priori information

IEEE Transactions on Signal Processing
Low-Complexity Block Turbo Equalization for OFDM Systems in Time-Varying Channels

IEEE Transactions on Signal Processing
Design and Analysis of MMSE Pilot-Aided Cyclic-Prefixed Block Transmissions for Doubly Selective Channels

IEEE Transactions on Signal Processing
Low-complexity equalization of OFDM in doubly selective channels

IEEE Transactions on Signal Processing
Optimal training for block transmissions over doubly selective wireless fading channels

IEEE Transactions on Signal Processing
Pilot-Assisted Time-Varying Channel Estimation for OFDM Systems

IEEE Transactions on Signal Processing
Iterative channel estimation for turbo equalization of time-varying frequency-selective channels

IEEE Transactions on Wireless Communications
Turbo equalization with nonlinear Kalman filtering for time-varying frequency-selective fading channels

IEEE Transactions on Wireless Communications
Iterative frequency-domain channel estimation and equalization for single-carrier transmissions without cyclic-prefix

IEEE Transactions on Wireless Communications
Maximum-diversity transmissions over doubly selective wireless channels

IEEE Transactions on Information Theory

Iterative Estimation and Equalization for SCCP Over Doubly Selective Channels

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Modern wireless communication systems require high transmission rates, giving rise to frequency selectivity due to multipath propagation. In addition, high-mobility terminals and scatterers induce Doppler shifts that introduce time selectivity. Therefore, advanced techniques are needed to accurately model the time- and frequency-selective (i.e., doubly selective) channels and to counteract the related performance degradation. In this paper, we develop new receivers for orthogonal frequency-division multiplexing (OFDM) systems and single-carrier (SC) systems in doubly selective channels by embedding the channel estimation task within low-complexity block turbo equalizers. Linear minimum mean-squared error (MMSE) pilot-assisted channel estimators are presented, and the soft data estimates from the turbo equalizers are used to improve the quality of the channel estimates.