GA-based evolutionary interleaver design for turbo codes

Abstract

This paper presents an evolutionary algorithm for generating spread random interleavers for turbo codes, using genetic algorithms (GAS). The approach is called GA-based spread random interleaving. The new interleaver offers a substantial improvement in the error performance over a random interleaver and a noticeable improvement over a s -random interleaver. In addition, the proposed method takes less time to generate spread random interleavers than the s -random algorithms.