Title
Computationally-efficient iterative decoding for storage system design: Min-Sum refined
Abstract
In this paper we propose a computationally-efficient, iterative decoding algorithm that is well-suited for storage systems with very stringent reliability constraints and low redundancy/high code rate requirements. The proposed Dual-Scaling Min-Sum (DS-MSA) overcomes certain deficiencies of the Min-Sum approximation when used for decoding graph-based codes. We observe that a small but non-negligible fraction of check-to-variable messages is underestimated by the Normalized Min-Sum algorithm in the low error rate region. By carefully adjusting the scaling factor for the variable-to-check message with the smallest magnitude, we develop the DS-MSA algorithm characterized by two scaling parameters. The proposed algorithm (1) outperforms Sum-Product and (Normalized) Min-Sum algorithms in the very low error rate regime, (2) maintains the low-complexity feature of the Min-Sum, and (3) can be easily combined with existing decoder implementations.
Year
DOI
Venue
2011
10.1109/ISCAS.2011.5937960
ISCAS
Keywords
Field
DocType
ds-msa algorithm,normalized min-sum algorithm,computationally-efficient iterative decoding algorithm,dual-scaling min-sum algorithm,variable-to-check message,check-to-variable messages,low redundancy-high code rate requirements,graph-based codes,redundancy,reliability constraints,scaling parameters,memory architecture,graph theory,message passing,iterative decoding,scaling factor,storage system design,approximation algorithms,error rate,signal to noise ratio,storage system,decoding,signal processing
Graph theory,Approximation algorithm,Sequential decoding,Code rate,Computer science,Control theory,Word error rate,Algorithm,Theoretical computer science,Redundancy (engineering),Decoding methods,Memory architecture
Conference
ISSN
ISBN
Citations 
0271-4302 E-ISBN : 978-1-4244-9472-9
978-1-4244-9472-9
0
PageRank 
References 
Authors
0.34
13
3
Name
Order
Citations
PageRank
Ben-Yue Chang110.76
Milos Ivkovic2303.63
Lara Dolecek362158.68