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System Identification in GSM/EDGE Receivers Using a Multi-Model Approach

Abbas, Taimoor LU and Tufvesson, Fredrik LU (2012) In International Journal on Control System and Instrumentation 3(1). p.41-46
Abstract
Model order selection is an important element in system identification. It is well known that common model order selection methods such as Akaike’s information criterion (AIC) and Bayesian’s information criterion (BIC) neglect relevant information that is available in models of order different from the one chosen. In this paper the model order selection problem for receivers similar to those found in GSM and EDGE systems is reviewed briefly and is solved with a multi-model approach based on simultaneous consideration of several models. Two methods are evaluated; a multi-model noise suppression filter and multi-model soft combining. The algorithms are implemented and evaluated by means of simulations. The performance of each method is... (More)
Model order selection is an important element in system identification. It is well known that common model order selection methods such as Akaike’s information criterion (AIC) and Bayesian’s information criterion (BIC) neglect relevant information that is available in models of order different from the one chosen. In this paper the model order selection problem for receivers similar to those found in GSM and EDGE systems is reviewed briefly and is solved with a multi-model approach based on simultaneous consideration of several models. Two methods are evaluated; a multi-model noise suppression filter and multi-model soft combining. The algorithms are implemented and evaluated by means of simulations. The performance of each method is analyzed for GSM and EDGE receivers in a link level simulator. Simulation results show a significant improvement in performance at the cost of increased computational complexity for the multi-model approach. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Multi-model, System Identification, GSM, EDGE, Whitening, Equalizer
in
International Journal on Control System and Instrumentation
volume
3
issue
1
pages
41 - 46
publisher
ACEEE
ISSN
2158-0006
language
English
LU publication?
yes
id
961a1d57-2611-4aa8-ae07-11804e6d53d0 (old id 3050559)
date added to LUP
2012-09-12 09:40:14
date last changed
2016-04-16 02:33:31
@article{961a1d57-2611-4aa8-ae07-11804e6d53d0,
  abstract     = {Model order selection is an important element in system identification. It is well known that common model order selection methods such as Akaike’s information criterion (AIC) and Bayesian’s information criterion (BIC) neglect relevant information that is available in models of order different from the one chosen. In this paper the model order selection problem for receivers similar to those found in GSM and EDGE systems is reviewed briefly and is solved with a multi-model approach based on simultaneous consideration of several models. Two methods are evaluated; a multi-model noise suppression filter and multi-model soft combining. The algorithms are implemented and evaluated by means of simulations. The performance of each method is analyzed for GSM and EDGE receivers in a link level simulator. Simulation results show a significant improvement in performance at the cost of increased computational complexity for the multi-model approach.},
  author       = {Abbas, Taimoor and Tufvesson, Fredrik},
  issn         = {2158-0006},
  keyword      = {Multi-model,System Identification,GSM,EDGE,Whitening,Equalizer},
  language     = {eng},
  number       = {1},
  pages        = {41--46},
  publisher    = {ACEEE},
  series       = {International Journal on Control System and Instrumentation},
  title        = {System Identification in GSM/EDGE Receivers Using a Multi-Model Approach},
  volume       = {3},
  year         = {2012},
}