MATLAB Implementation of Turbo Codes

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Resource Overview

Implementation of Turbo Code encoding and decoding processes in MATLAB, covering interleavers, component encoders, MAP algorithm decoding, and Log-MAP algorithm decoding with code-level explanations

Detailed Documentation

This article provides a comprehensive guide to implementing Turbo code encoding and decoding processes using MATLAB. During the encoding phase, we will focus on the functionality and implementation details of interleavers and component encoders, including how to configure parallel concatenated convolutional codes (PCCC) through MATLAB's communication toolbox functions. For the decoding process, we will examine two primary algorithms: MAP (Maximum A Posteriori) algorithm decoding and its logarithmic version Log-MAP algorithm decoding. The implementation will demonstrate how to handle soft-input soft-output (SISO) decoding iterations, with code examples showing branch metric calculations and forward/backward recursion implementations. Through detailed analysis of these key concepts accompanied by practical MATLAB code snippets, readers will gain a deeper understanding of Turbo code implementation principles and their applications in communication systems.

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