Paper Info
Title
Robust joint CFO and fast time-varying channel tracking for MIMO-OFDM systems.
Abstract
In this paper, a robust joint carrier frequency offset (CFO) and fast time-varying channel tracking algorithm for MIMO-OFDM systems is proposed. The proposed method is robust to noise statistics and noise distribution uncertainties. The extended H filter (EHF) is employed for the joint tracking process as it does not require any knowledge of noise statistics or noise distribution, unlike the conventional extended Kalman filter (EKF). To reduce computational complexity, the tracking of fast time-varying channel gains is facilitated by the basis expansion model (BEM). Simulation results show that the performance of the proposed algorithm without knowledge of noise statistics matches the performance of the existing algorithm under Gaussian noise and is better than that of the existing algorithm under non-Gaussian noise.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6854855
ICASSP
Keywords
Field
DocType
gaussian noise,tracking,ofdm modulation,orthogonal frequency division multiplexing,ekf,extended kalman filter,ehf,ofdm,signal to noise ratio,algorithm design and analysis,computational complexity
MIMO-OFDM,Noise statistics,Extended Kalman filter,Mathematical optimization,Control theory,Computer science,Carrier frequency offset,Communication channel,Algorithm,Gaussian noise,Computational complexity theory
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
4
3
Name
Order
Citations
PageRank
Meng-Chuan Mah111.71
Heng-Siong Lim2459.65
Alan Wee-Chiat Tan393.59