TY - GEN
T1 - Parameter estimation and equalization techniques for MIMO frequency selective channels with multiple frequency offsets
AU - Ahmed, Sajid
AU - Lambotharan, Sangarapillai
AU - Jakobsson, Andreas
AU - Chambers, Jonathon
N1 - Publisher Copyright:
© 2004 EUSIPCO.
PY - 2015/4/3
Y1 - 2015/4/3
N2 - In this work, we focus upon the estimation of the channel parameters of a multiple input and multiple output (MIMO) model, allowing for more than one path between the transmit and the receive antennas, with each path possibly having different frequency offsets (FOs). Such a scenario may arise due to Doppler shifts associated with various multipaths. In particular, we derive an approximate maximum likelihood estimator (AML) for the channel parameters by exploiting the correlation property of the pilot signal. The resulting AML is realised as the sum of n T L one-dimensional maximizations, where n T is the number of transmit antennas and L is the total number of paths, and is validated by comparison with the Cramér-Rao lower bound (CRLB), which is also derived. Furthermore, a minimum mean square error recursive (MMSER) equalizer is proposed which exploits the estimated parameters, the performance of which is shown to be much improved on an equalizer not accounting for FOs.
AB - In this work, we focus upon the estimation of the channel parameters of a multiple input and multiple output (MIMO) model, allowing for more than one path between the transmit and the receive antennas, with each path possibly having different frequency offsets (FOs). Such a scenario may arise due to Doppler shifts associated with various multipaths. In particular, we derive an approximate maximum likelihood estimator (AML) for the channel parameters by exploiting the correlation property of the pilot signal. The resulting AML is realised as the sum of n T L one-dimensional maximizations, where n T is the number of transmit antennas and L is the total number of paths, and is validated by comparison with the Cramér-Rao lower bound (CRLB), which is also derived. Furthermore, a minimum mean square error recursive (MMSER) equalizer is proposed which exploits the estimated parameters, the performance of which is shown to be much improved on an equalizer not accounting for FOs.
UR - http://www.scopus.com/inward/record.url?scp=84979900337&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84979900337
T3 - European Signal Processing Conference
SP - 1857
EP - 1860
BT - 2004 12th European Signal Processing Conference, EUSIPCO 2004
PB - European Signal Processing Conference, EUSIPCO
T2 - 12th European Signal Processing Conference, EUSIPCO 2004
Y2 - 6 September 2004 through 10 September 2004
ER -