Adaptive Blind Equalization Algorithms for QAM Systems

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.