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MIMO Frequency Selective Channels with Multiple Frequency Offsets: Estimation and Detection Techniques

Ahmed, Sajid; Lambotharan, Sangarapillai; Jakobsson, Andreas LU and Chambers, Jonathon (2005) In IEE Proceedings - Communications 152(4). p.489-494
Abstract
Channel gains and frequency offsets are estimated in a multiple input and multiple output (MIMO) scenario, allowing for more than one path between the transmit and the receive antennas, with each path possibly having a different frequency offset. Such a scenario may arise due to Doppler shift associated with various multipaths. Here, the general case is examined and an approximate maximum likelihood (AML) estimator is derived by exploiting the correlation property of the pilot signal. The AM L estimator can be written as the sum of n(T)L one-dimensional maximisations, where n(T) is the number of transmit antennas and L is the total number of paths. The proposed estimator is validated by comparing the results with the Cramer-Rao lower bound... (More)
Channel gains and frequency offsets are estimated in a multiple input and multiple output (MIMO) scenario, allowing for more than one path between the transmit and the receive antennas, with each path possibly having a different frequency offset. Such a scenario may arise due to Doppler shift associated with various multipaths. Here, the general case is examined and an approximate maximum likelihood (AML) estimator is derived by exploiting the correlation property of the pilot signal. The AM L estimator can be written as the sum of n(T)L one-dimensional maximisations, where n(T) is the number of transmit antennas and L is the total number of paths. The proposed estimator is validated by comparing the results with the Cramer-Rao lower bound (CRLB). Further, a minimum mean square error recursive (MMSER) equaliser is proposed for the considered scenario. Finally, the performance of the MMSER equaliser is compared with the equaliser not accounting for frequency offsets. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
PARAMETER-ESTIMATION, FADING CHANNELS
in
IEE Proceedings - Communications
volume
152
issue
4
pages
489 - 494
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:24144487128
ISSN
1350-2425
DOI
10.1049/ip-com:20045224
language
English
LU publication?
no
id
0163a1c8-cfe9-4ed5-afec-4b167fd67877 (old id 1216112)
date added to LUP
2008-09-30 09:52:01
date last changed
2017-09-17 07:03:34
@article{0163a1c8-cfe9-4ed5-afec-4b167fd67877,
  abstract     = {Channel gains and frequency offsets are estimated in a multiple input and multiple output (MIMO) scenario, allowing for more than one path between the transmit and the receive antennas, with each path possibly having a different frequency offset. Such a scenario may arise due to Doppler shift associated with various multipaths. Here, the general case is examined and an approximate maximum likelihood (AML) estimator is derived by exploiting the correlation property of the pilot signal. The AM L estimator can be written as the sum of n(T)L one-dimensional maximisations, where n(T) is the number of transmit antennas and L is the total number of paths. The proposed estimator is validated by comparing the results with the Cramer-Rao lower bound (CRLB). Further, a minimum mean square error recursive (MMSER) equaliser is proposed for the considered scenario. Finally, the performance of the MMSER equaliser is compared with the equaliser not accounting for frequency offsets.},
  author       = {Ahmed, Sajid and Lambotharan, Sangarapillai and Jakobsson, Andreas and Chambers, Jonathon},
  issn         = {1350-2425},
  keyword      = {PARAMETER-ESTIMATION,FADING CHANNELS},
  language     = {eng},
  number       = {4},
  pages        = {489--494},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEE Proceedings - Communications},
  title        = {MIMO Frequency Selective Channels with Multiple Frequency Offsets: Estimation and Detection Techniques},
  url          = {http://dx.doi.org/10.1049/ip-com:20045224},
  volume       = {152},
  year         = {2005},
}