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Non-binary Codes Decoding Strategies in a Communication System Employing Nonparametric Reception

Student: Malakhova Mariya

Supervisor: Dmitry Osipov

Faculty: Faculty of Computer Science

Educational Programme: Data Science (Master)

Year of Graduation: 2019

This work discusses DHA FH OFDMA system, which uses detectors based on order statistics. One of the main flaws that limits the use of these decoders is a relatively high decoding complexity. In fact, all the methods described are reduced to calculating the reliability of estimates for each code word and the comparison of such estimates, in other words, to a brute force search. The paper describes a suboptimal decoding strategy, based on a combination of list-based decoding, and approaches, based on ranking the reliability of estimates. As part of this strategy, decoding algorithms are considered, one of which is proposed for the first time. The effectiveness of such algorithms was investigated by methods of simulation. The results obtained allow us to draw conclusions about the prospects for the practical use of the considered algorithms.

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