System Identification in GSM/EDGE Receivers Using a Multi-Model Approach
Author
Summary, in English
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.
Department/s
Publishing year
2012
Language
English
Pages
41-46
Publication/Series
International Journal on Control System and Instrumentation
Volume
3
Issue
1
Full text
- Available as PDF - 364 kB
- Download statistics
Document type
Journal article
Publisher
ACEEE
Topic
- Electrical Engineering, Electronic Engineering, Information Engineering
Keywords
- Multi-model
- System Identification
- GSM
- EDGE
- Whitening
- Equalizer
Status
Published
Research group
- Radio Systems
ISBN/ISSN/Other
- ISSN: 2158-0006