An interpolation procedure for list decoding reed-solomon codes based on generalized key equations

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Abstract

The key step of syndrome-based decoding of Reed-Solomon codes up to half the minimum distance is to solve the so-called Key Equation. List decoding algorithms, capable of decoding beyond half the minimum distance, are based on interpolation and factorization of multivariate polynomials. This article provides a link between syndrome-based decoding approaches based on Key Equations and the interpolation-based list decoding algorithms of Guruswami and Sudan for Reed-Solomon codes. The original interpolation conditions of Guruswami and Sudan for Reed-Solomon codes are reformulated in terms of a set of Key Equations. These equations provide a structured homogeneous linear system of equations of Block-Hankel form, that can be solved by an adaption of the Fundamental Iterative Algorithm. For an (n,k) Reed-Solomon code, a multiplicity s and a list size ℓ , our algorithm has time complexity O(ℓ s 4n2).

Original languageEnglish
Article number6006633
Pages (from-to)5946-5959
Number of pages14
JournalIEEE Transactions on Information Theory
Volume57
Issue number9
DOIs
Publication statusPublished - 1 Sept 2011

Keywords

  • Block-Hankel matrix
  • Guruswami-Sudan interpolation
  • Reed-Solomon codes
  • fundamental iterative algorithm (FIA)
  • key equation
  • list decoding

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