A decision directed square-root free inverse QR-decomposition based groupwise recursive channel estimator for SFBC-OFDM systems

Authors:
Siva D. Muruganathan;Abu B. Sesay
Affiliations:
Department of Electrical and Computer Engineering, University of Calgary;Department of Electrical and Computer Engineering, University of Calgary
Venue:
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Year:
2009

Citing 7
Cited 0

Adaptive filter theory

Adaptive filter theory
Principles of mobile communication (2nd ed.)

Principles of mobile communication (2nd ed.)
Division and Square Root: Choosing the Right Implementation

IEEE Micro
CHANNEL ESTIMATION FOR WIRELESS OFDM SYSTEMS

IEEE Communications Surveys & Tutorials
Estimation of channel statistics for iterative detection of OFDM signals

IEEE Transactions on Wireless Communications
A Computationally Efficient QR-Successive Interference Cancellation Scheme for Simplified Receiver Implementation in SFBC-OFDM Systems

IEEE Transactions on Wireless Communications
Space-time block codes from orthogonal designs

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a decision directed square-root free inverse QR-decomposition based groupwise recursive (SIQR-GR) channel estimation scheme is proposed for space-frequency block coded orthogonal frequency division multiplexing (SFBC-OFDM) systems. The proposed SIQR-GR channel estimation algorithm employs sequences of scaled Givens rotations to recursively processes data decisions corresponding to the SFBC groups within each OFDM block. As a result of the groupwise recursive processing, the proposed SIQR-GR scheme yields improved system performance under doubly-selective (i.e., frequency-selective and fast fading) channels. To evaluate the performance advantages of SIQR-GR, we compare the normalized mean square error (NMSE) and symbol error rate (SER) performances of SIQR-GR to those corresponding to previously proposed channel estimation schemes. Furthermore, we also present computational complexity comparisons between SIQR-GR and the previously proposed schemes. These comparisons show an excellent performance-complexity tradeoff achieved by SIQR-GR over the previously proposed solutions.