Design and Implementation of an Adaptive Signal Processing Scheme through Software Defined Radio

Postgraduate Thesis uoadl:2962732 146 Read counter

Unit:
Κατεύθυνση Ηλεκτρονική και Ραδιοηλεκτρολογία (Ρ/Η)
Library of the School of Science
Deposit date:
2021-10-15
Year:
2021
Author:
Sotiropoulos-Togias Georgios
Supervisors info:
Άννα Τζανακάκη, Αναπληρώτρια Καθηγήτρια, Τμήμα Φυσικής, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Original Title:
Design and Implementation of an Adaptive Signal Processing Scheme through Software Defined Radio
Languages:
English
Translated title:
Design and Implementation of an Adaptive Signal Processing Scheme through Software Defined Radio
Summary:
The rapid advancement of the telecommunications domain highlights its shortcomings in terms of adaptability, flexibility and new technology adoption in fixed and wireless systems. A shift in infrastructure paradigm to meet the growing demands of different industries and consumers seems mandatory and is already taking place in the network layer. As the need for more frequency bands, higher throughput systems and lower latency applications increases, the infrastructure required must be able to follow the same pace. Software Defined Radio can provide the necessary resilience and its adoption should be expedited.

The goal of the work herein is to develop and implement an adaptive modulation technique as part of a signal processing chain for a wireless telecommunication system, through the use of Software Defined Radio. This is achieved through the use of SDR software and hardware, specifically GNURadio and the Universal Software Radio Peripherals respectively. The overarching signal processing theory is presented, followed by a more analytical view of the modulation techniques used. The tools employed are discussed in detail as well as the processing chain that was created. The adaptive modulation algorithm is constructed in the Python programming language, and the system is tested both in simulation and via an experimental testbed. Test cases and results are discussed, along with issues encountered and potential improvements that can be incorporated.
Main subject category:
Science
Keywords:
SDR, Signal Processing, Modulation, GNU Radio, USRP
Index:
Yes
Number of index pages:
3
Contains images:
Yes
Number of references:
29
Number of pages:
76
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