Getting Started

Building the Convolutional Code Model

You can build the convolutional code model by adding blocks to the model shown in the figure Channel Noise Model.

To build the model, follow these steps:

1. Type channeldoc at the MATLAB Help browser to open the channel noise model. Then save the model as my_conv in the directory where you keep your work files.
2. Delete the Binary Symmetric Channel block.
3. Drag the following blocks from the Simulink Library Browser into the model window, and connect them as shown in the figure Convolutional Code Model:
• Convolutional Encoder, from the Convolutional sublibrary of the Error Detection and Correction library
• BPSK Modulator Baseband, from PM in the Digital Baseband Modulation sublibrary of the Modulation library
• Complex to Real-Imag, from the Simulink Math Operations library
• Viterbi Decoder, from the Convolutional sublibrary of the Error Detection and Correction library

Building a Convolutional Code Model

Blocks in the Model