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 language | English |
|---|---|
| Article number | 6006633 |
| Pages (from-to) | 5946-5959 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Information Theory |
| Volume | 57 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 1 Sept 2011 |
Keywords
- Block-Hankel matrix
- Guruswami-Sudan interpolation
- Reed-Solomon codes
- fundamental iterative algorithm (FIA)
- key equation
- list decoding