MATLAB Implementation and Simulink Simulation of Turbo Code Encoding and Decoding

This document describes how to implement Turbo code encoding and decoding using MATLAB, including both MATLAB code examples and Simulink simulation models. The content covers Turbo code fundamental principles and algorithms, with practical implementation guidance for MATLAB environment. The MATLAB implementation typically involves recursive systematic convolutional (RSC) encoders, interleaver design using functions like randperm(), and iterative decoding using the MAP (Maximum A Posteriori) or Log-MAP algorithm. Through Simulink simulations, you can observe Turbo code performance characteristics during transmission, including bit error rate (BER) analysis under different signal-to-noise ratio conditions. This documentation aims to enhance understanding and application of Turbo code technology for communication system design and digital signal processing applications, providing ready-to-use code templates for immediate implementation.