Concatenated Codes for Multiple Reads of a DNA Sequence
Artikel i vetenskaplig tidskrift, 2023

Decoding sequences that stem from multiple transmissions of a codeword over an insertion, deletion, and substitution channel is a critical component of efficient deoxyribonucleic acid (DNA) data storage systems. In this paper, we consider a concatenated coding scheme with an outer nonbinary low-density parity-check code or a polar code and either an inner convolutional code or a time-varying block code. We propose two novel decoding algorithms for inference from multiple received sequences, both combining the inner code and channel to a joint hidden Markov model to infer symbolwise a posteriori probabilities (APPs). The first decoder computes the exact APPs by jointly decoding the received sequences, whereas the second decoder approximates the APPs by combining the results of separately decoded received sequences and has a complexity that is linear with the number of sequences. Using the proposed algorithms, we evaluate the performance of decoding multiple received sequences by means of achievable information rates and Monte-Carlo simulations. We show significant performance gains compared to a single received sequence. In addition, we succeed in improving the performance of the aforementioned coding scheme by optimizing both the inner and outer codes.

concatenated codes

DNA storage

polar code

low-density parity-check (LDPC) code

Achievable information rates

synchronization codes

insertion/deletion/substitution (IDS) channel

Författare

Issam Maarouf

Simula UiB

Andreas Lenz

Technische Universität München

Lorenz Welter

Technische Universität München

Antonia Wachter-Zeh

Technische Universität München

Eirik Rosnes

Simula UiB

Alexandre Graell I Amat

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Simula UiB

IEEE Transactions on Information Theory

0018-9448 (ISSN) 1557-9654 (eISSN)

Vol. 69 2 910-927

Pålitlig och säker kodad kantberäkning

Vetenskapsrådet (VR) (2020-03687), 2021-01-01 -- 2024-12-31.

Ämneskategorier

Telekommunikation

Kommunikationssystem

Signalbehandling

DOI

10.1109/TIT.2022.3206527

Mer information

Senast uppdaterat

2023-02-16