Adaptive Blind Equalization Algorithms for QAM Systems
2022
Deniss Kolosovs

Defending
10.06.2022. 13:30, Āzenes iela 12, 201. auditorija, Rīga

Supervisor
Artūrs Āboltiņš, Anna Litviņenko

Reviewers
Vjačeslavs Bobrovs, Rasa Bruzgiene, Ahrens Andreas

The Doctoral Thesis is devoted to the problems of blind alignment in QAM systems. It offers an optimization of existing algorithms to minimize the error probability in decision-making. The theoretical foundation for grouping QAM constellation points to synthesize blind equalization algorithms is considered. The Thesis proposes a methodology for switching equalization algorithms, ensuring their compliance with the level of residual interference. It describes the FPGA implementation of the proposed algorithms and provides field measurement results.


Keywords
Blind equalization, equalizer, error probability, field-programmable gate array
DOI
10.7250/9789934227882

Kolosovs, Deniss. Adaptive Blind Equalization Algorithms for QAM Systems. PhD Thesis. Rīga: [RTU], 2022. 110 p.

Publication language
English (en)
The Scientific Library of the Riga Technical University.
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