A matrix based list decoding algorithm for linear codes over integer residue rings

Abstract

In this paper we address the problem of list decoding of linear codes over an integer residue ring Zq, where qis a power of a prime p. The proposed procedure exploits a particular matrix representation of the linear code over Zpr, called the standard form, and the p-adic expansion of the to-be-decoded vector. In particular, we focus on the erasure channel in which the location of the errors is known. This problem then boils down to solving a system of linear equations with coefficients in Zpr. From the parity-check matrix representations of the code we recursively select certain equations that a codeword must satisfy and have coefficients only in the field pr−1Zpr. This yields a step by step procedure obtaining a list of the closest codewords to a given received vector with some of its coordinates erased. We show that such an algorithm actually computes all possible erased coordinates, that is, the provided list is minimal.