DocumentCode :
699461
Title :
Parameter estimation and equalization techniques for MIMO frequency selective channels with multiple frequency offsets
Author :
Ahmed, Sajid ; Lambotharan, Sangarapillai ; Jakobsson, Andreas ; Chambers, Jonathon
Author_Institution :
Commun. & Inf. Technol. Group, Cardiff Univ., Cardiff, UK
fYear :
2004
fDate :
6-10 Sept. 2004
Firstpage :
1857
Lastpage :
1860
Abstract :
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 nTL one-dimensional maximizations, where nT 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.
Keywords :
Doppler shift; MIMO communication; channel estimation; correlation methods; equalisers; least mean squares methods; receiving antennas; transmitting antennas; 1D maximizations; AML; Doppler shifts; MIMO frequency selective channels; MMSER equalizer; approximate maximum likelihood estimator; channel parameter estimation technique; minimum mean square error recursive equalizer; multiple frequency offsets; multiple input-and-multiple output model; parameter equalization technique; pilot signal correlation property; receive antennas; transmit antennas; Channel estimation; Equalizers; Estimation; MIMO; Receiving antennas; Transmitting antennas; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2004 12th European
Conference_Location :
Vienna
Print_ISBN :
978-320-0001-65-7
Type :
conf
Filename :
7079991
Link To Document :
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