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Complexity reduction for vehicular channel estimation using the filter-divergence measure

Bernadó, Laura ; Zemen, Thomas ; Paier, Alexander and Kåredal, Johan LU (2011) Asilomar Conference on Signals, Systems, and Computers, 2010
Abstract
In vehicular communications systems the channel estimation filter suppresses the additive noise in channel estimates obtained from pilot symbols. Vehicular channels show local stationarity for a finite region in time and frequency, only. Such a process can be divided into consecutive stationarity regions, allowing to calculate a Wiener filter. We analyze the increase of the mean square error (MSE) when using a mismatched Wiener filter calculated for a past stationarity region. The MSE increase of the filter is related to a new metric, the filter divergence directly observable at the receiver side. By accepting an increase of MSE, measured by the filter-divergence, the same filter coefficients can be used for several stationarity regions,... (More)
In vehicular communications systems the channel estimation filter suppresses the additive noise in channel estimates obtained from pilot symbols. Vehicular channels show local stationarity for a finite region in time and frequency, only. Such a process can be divided into consecutive stationarity regions, allowing to calculate a Wiener filter. We analyze the increase of the mean square error (MSE) when using a mismatched Wiener filter calculated for a past stationarity region. The MSE increase of the filter is related to a new metric, the filter divergence directly observable at the receiver side. By accepting an increase of MSE, measured by the filter-divergence, the same filter coefficients can be used for several stationarity regions, allowing computational complexity reduction in a real system. (Less)
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author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
Asilomar Conference on Signals, Systems, and Computers, 2010
conference location
Pacific Grove, CA, United States
conference dates
2010-11-07 - 2010-11-10
external identifiers
  • scopus:79957979084
ISBN
978-1-4244-9721-8
978-1-4244-9722-5
DOI
10.1109/ACSSC.2010.5757485
language
English
LU publication?
yes
id
7efeddac-3e17-4722-9491-07a178fb9acc (old id 1661168)
date added to LUP
2016-04-04 13:39:25
date last changed
2021-06-23 02:43:14
@inproceedings{7efeddac-3e17-4722-9491-07a178fb9acc,
  abstract     = {In vehicular communications systems the channel estimation filter suppresses the additive noise in channel estimates obtained from pilot symbols. Vehicular channels show local stationarity for a finite region in time and frequency, only. Such a process can be divided into consecutive stationarity regions, allowing to calculate a Wiener filter. We analyze the increase of the mean square error (MSE) when using a mismatched Wiener filter calculated for a past stationarity region. The MSE increase of the filter is related to a new metric, the filter divergence directly observable at the receiver side. By accepting an increase of MSE, measured by the filter-divergence, the same filter coefficients can be used for several stationarity regions, allowing computational complexity reduction in a real system.},
  author       = {Bernadó, Laura and Zemen, Thomas and Paier, Alexander and Kåredal, Johan},
  booktitle    = {2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers},
  isbn         = {978-1-4244-9721-8},
  language     = {eng},
  publisher    = {IEEE - Institute of Electrical and Electronics Engineers Inc.},
  title        = {Complexity reduction for vehicular channel estimation using the filter-divergence measure},
  url          = {http://dx.doi.org/10.1109/ACSSC.2010.5757485},
  doi          = {10.1109/ACSSC.2010.5757485},
  year         = {2011},
}