Approved
Multi-model Approach for System Identification in Digital Communication Receivers
Taimoor Abbas ()
Start
2009-01-15
Presentation
2009-06-25 13:15
Location:
E:2311
Finished:
2009-06-25
Master's thesis:
(Contact supervisor)
Abstract
Proper System Identification is critical; choosing an appropriate model structure with minimum complexity is a non trivial thing to do in reality. Especially when it comes to wireless communication systems it is a challenging task to deliver very good performance. Quality of service needs to be maintained no matter what conditions prevail on the radio link. Therefore the receivers in macro cell base stations are made to adapt themselves to the severe radio conditions. In this thesis System Identification is applied to receivers similar to those found in GSM/EDGE systems. The model order selection problem is reviewed briefly and 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 evaluated by means of simulations. The performance of each method is analyzed individually in a GSM/EDGE receiver. Simulation results show a significant improvement in performance at the cost of increased computational complexity.
Supervisor: Miquel Lopez (Ericsson)
Examiner: Fredrik Tufvesson (EIT)