Enhanced equalization for mobile communication systems
Oletu, G., Rapajic, P., Eneh, T. and Anang, K. (2012) Enhanced equalization for mobile communication systems. In: Computer Modeling and Simulation (EMS). The Institute of Electrical and Electronics Engineers, Inc. , Piscataway, NJ, USA, pp. 446-450. ISBN 978-1-4673-0060-5 (doi:10.1109/EMS.2011.32)Full text not available from this repository.
In this paper a prefiltering method is considered where an all pass filter is employed at the receiver before equalization to create a minimum phase overall impulse response. In the presence of ISI, the all pass filter concentrates the maximum symbol energy in the correct sampling instances and subsequently cancel the non causal precursor ISI by replacing the samples and channel by their minimum phase equivalent. The system performance attainable with the proposed equalization is determined for transmission with channel coding. The use of all pass filtering is beneficial to the performance of a communication receiver that operates in a dispersive multipath propagation environment and thereby improves capacity. Simulation results are given, which demonstrate that the proposed approach outperform the conventional decision feedback equalizer.
|Item Type:||Conference Proceedings|
|Title of Proceedings:||Computer Modeling and Simulation (EMS)|
|Additional Information:||Proceedings from UKSim Fifth European Modelling Symposium on Computer Modelling and Simulation, held between 16–18 November 2011 in Madrid, Spain|
|Uncontrolled Keywords:||prefiltering method, all pass filter, minimum phase overall impulse response, dispersive multipath propagation environment|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
|School / Department / Research Groups:||School of Engineering
Faculty of Engineering & Science > School of Engineering
School of Engineering > Department of Computer & Communications Engineering
Faculty of Engineering & Science > School of Engineering > Department of Computer & Communications Engineering
|Last Modified:||12 Mar 2012 16:09|
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