Getting Started

Overview of the Model

The channel noise model generates a random binary signal, and then switches the symbols 0 and 1 in the signal, according to a specified error probability, to simulate a channel with noise. The model then calculates the error rate and displays the result. The model contains the following components.

Source

The source for the signal in this model is the Bernoulli Binary Generator block, which generates a random binary sequence.

The Channel

The Binary Symmetric Channel block simulates a channel with noise. The block introduces random errors to the signal by changing a 0 to a 1 or the reverse, with a probability specified by the Error probability parameter in the block's mask.

Error Rate Calculation

The Error Rate Calculation block calculates the error rate of the channel. The block has two input ports, labeled Tx, for the transmitted signal, and Rx, for the received signal. The block compares the two signals and checks for errors. The output of the block is a vector with three entries:

• Bit error rate, which you expect to be approximately .01, since this is the probability of error in the channel
• Number of errors
• Total number of bits that are transmitted

Display

The Display block displays the output of the Error Rate Calculation block, as described in Displaying the Error Rate.

Building a Channel Noise Model

Selecting Blocks for the Channel Noise Model