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Decoding of Product Codes in Discrete and Semi-continuous Channels with Memory

P. 478–489.
Fominykh A., Ovchinnikov A.

Product code construction is a powerful error-correcting tool for both channels with and without memory. The common approach to decoding product codes is to apply consequent decoders in a sequential manner. The paper examines the influence of memory in the channel on iterative decoding for hard decision, soft decision, and trellis-based decoding algorithms. Also, the attainable performance of iterative schemes with and without knowledge of channel state information is presented.

Language: English
DOI
Text on another site
Keywords: channels with memoryiterative codesMAP decoding
Publication based on the results of:
Research and development of multiple access and error-correcting coding methods for energy-efficient data transmission in Internet of Things systems (2024)

In book

Distributed Computer and Communication Networks: Control, Computation, Communications: 26th International Conference, DCCN 2023, Moscow, Russia, September 25–29, 2023, Revised Selected Papers
Switzerland: Springer, 2023.
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Estimation of MAP component decoding of product codes in two-state channels
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Product code construction is a powerful error-correcting tool for both channels with and without memory. The common approach to decoding product (iterative) code is to apply consequent decoders in a sequential manner. The paper examines the influence of memory in the channel on iterative decoding for hard decision, soft decision, and trellis-based decoding algorithms. Also, ...
Added: December 18, 2025
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Added: October 27, 2022
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Added: October 27, 2022
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