Paper Info
Title
Joint carrier frequency offset and channel parameters estimation for MIMO-OFDM systems
Abstract
Joint channel and frequency offset tracking based on an autoregressive (AR) model are often performed by either assuming the knowledge of the state transition matrix and state noise or obtaining the state transition matrix and state noise via the Yule Walker equations. In this paper, we propose a joint carrier frequency offset (CFO) and channel parameters tracking algorithm for MIMO-OFDM system which is capable of tracking the channel parameters without requirements of additional information such as maximum Doppler frequency and maximum delay spread. The Extended Kalman Filter is proposed for the joint tracking process. Simulation results show that the performance of the proposed method is close to the case when channel parameters are known.
Year
DOI
Venue
2012
10.1049/cp.2012.2066
ICWCA
Keywords
DocType
ISBN
multiple input multiple output-orthogonal frequency division multiplexing,mimo-ofdm,channel parameters estimation,kalman filters,joint carrier frequency offset,yule walker equations,ofdm modulation,matrix algebra,channel estimation,autoregressive processes,mimo communication,carrier frequency offset,state noise,ar model,state transition matrix,mimo-ofdm systems,extended kalman filter,autoregressive model,channel parameters tracking algorithm,nonlinear filters,cfo
Conference
978-1-84919-550-8
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Meng-Chuan Mah111.71
Heng-Siong Lim2459.65
Alan W. C. Tan3786.70