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2021•Unpublished venueRequires access

A Two-stage Decoding Algorithm for Spatially Coupled Algebraic LDPC Codes

Juewei Wang, Xiao Ma

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Abstract

In this paper, we propose a two-stage decoding algorithm for spatially-coupled algebraic low-density paritycheck (LDPC) codes with linear computational complexity, which consists of a sliding-window belief propagation (BP) decoding algorithm and a majority logic decoding algorithm. Simulation results are presented, showing that the error rate performance of SC-LDPC codes can be further improved by the majority logic decoding algorithm.

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What this paper is about

In this paper, we propose a two-stage decoding algorithm for spatially-coupled algebraic low-density paritycheck (LDPC) codes with linear computational complexity, which consists of a sliding-window belief propagation (BP) decoding algorithm and a majority logic decoding algorithm. Simulation results are presented, showing that the error rate performance of SC-LDPC codes can be further improved by the majority logic decoding algorithm.

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Available abstract

In this paper, we propose a two-stage decoding algorithm for spatially-coupled algebraic low-density paritycheck (LDPC) codes with linear computational complexity, which consists of a sliding-window belief propagation (BP) decoding algorithm and a majority logic decoding algorithm. Simulation results are presented, showing that the error rate performance of SC-LDPC codes can be further improved by the majority logic decoding algorithm.

Key concepts: Low-density parity-check code, Decoding methods, Berlekamp–Welch algorithm, Sequential decoding, Algorithm, List decoding, Computer science, Belief propagation

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