Graduation Semester and Year
2008
Language
English
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Electrical Engineering
First Advisor
Venkat Devarajan
Abstract
Presently, call drop out is considered a major problem in wireless communication. A large percentage of call drops take place due to network congestion, handover failure and high bit error rate.Our main objective is to reduce call drops due to high bit error rate using a newly proposed signal processing block (SPB) at the receiver section of a mobile handset. The SPB helps improve the performance of the wireless system, particularly Global Systems for Mobile (GSM) by providing a coding gain over the existing system. In this work, we carried out a simulation of the physical layer of a GSM system and a performance analysis in the presence of our new signal processing block. More specifically, we developed and incorporated the subsystems to generate the two mixtures of signal and noise, centering and whitening. This was our contribution to the development of the SPB. In addition, we also incorporated in the simulation diversity, channel coding, phase estimation and channel compensation. The simulation results prove that an improvement in the BER is achieved over many typical existing configurations of the physical layer a GSM wireless system.The BER is considered to be one of the parameter during the handoff initiation procedure. One of conditions for hard handoff is that the bit error rate of the serving base station should be below a defined threshold. Hence, improving the BER that we have achieved could help reduce call drops during hard handoff.
Disciplines
Electrical and Computer Engineering | Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Singh, Kumarabhijeet, "Improving the Bit Error Rate Performance Of GSM System Using A Independent Component Analysis based Non-linear Filter" (2008). Electrical Engineering Theses. 122.
https://mavmatrix.uta.edu/electricaleng_theses/122
Comments
Degree granted by The University of Texas at Arlington