Reduced complexity ADMM-based schedules for LP decoding of LDPC convolutional codes

Hayfa Ben Thameur, B. Gal, N. Khouja, F. Tlili, C. Jégo
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引用次数: 1

Abstract

The ADMM based linear programming (LP) technique shows interesting error correction performance when decoding binary LDPC block codes. Nonetheless, it's applicability to decode LDPC convolutional codes (LDPC-CC) has not been yet investigated. In this paper, a first flooding based formulation of the ADMM-LP for decoding LDPC-CCs is described. In addition, reduced complexity decoding schedules to lessen the storage requirements and improve the convergence speed of an ADMM-LP based LDPC-CC decoder without significant loss in error correction performances are proposed and assessed from an algorithmic and computational/memory complexity perspectives.
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降低复杂度的基于admm的LDPC卷积码LP解码方案
基于ADMM的线性规划(LP)技术在二进制LDPC分组码译码时表现出良好的纠错性能。然而,它在LDPC卷积码(LDPC- cc)解码中的适用性尚未得到研究。本文描述了一种基于泛洪的ADMM-LP解码ldpc - cc的方法。此外,本文还从算法复杂度和计算/存储复杂度的角度对基于ADMM-LP的LDPC-CC译码器提出了降低译码复杂度的方案,以减少存储需求并提高其收敛速度,同时又不会显著降低纠错性能。
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