Training - Courses

SLCM: Communication Systems Modeling with Simulink

Note: A 1 hour test session will be scheduled one day prior to the first day of class. This session is to verify that the visual and audio connection is working properly on your computer. The required product software should be installed for the test session. It is highly recommended that you attend this session to ensure a successful and timely class start.

Using hands-on examples, this one-day course demonstrates the use of MathWorks products to design common communication systems. The emphasis is on designing end-to-end communication systems using Simulink, Communications Blockset, and Signal Processing Blockset. Topics include:

Modeling using Communication Blockset
Analyzing the bit error rate (BER) of a communication system
Adding channel impairments
Designing receiver algorithms

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	Detailed course outline

Day 1
Amplitude Modulation Using Simulink	Objective: To review Simulink topics necessary for the training. An AM system will be built to demonstrate basic concepts in Simulink. Building a simple AM Model in Simulink Creating a subsystem Visualizing a signal in the time and frequency domain Working with MATLAB data Simulating the model from the command line
Modeling Using the Communication Blockset	Objective: To use the Communication Blockset to build an end-to-end QPSK model and become familiar with the different visualization tools within the blockset. Communication Blockset Introduction Creating a QPSK Transmitter Model Generating a Random Source Frame-Based Processing QPSK Modulator Scatter Plot Pulse-Shaping Filter Eye Diagram Creating an Equivalent Receiver Calculating System Delay Calculating Error Rate Statistics
Communication Systems Analysis	Objective: To analyze the BER performance of an end-to-end communication system by writing a MATLAB script and BERTool. Performance Analysis and BER Curve Automating Performance Analysis: Scripts AWGN uncode Adding channel coding Automating Performance Analysis: BERTool Theory Results Semianalytic Technique Simulation BERTool: MATLAB Functions
Channel Impairments and Receiver Algorithms	Objective: To add channel impairments and recovery blocks to test receiver performance. Adding Phase and Frequency Offset Correcting Phase and Frequency using DQPSK Phase Recovery Block Adding Timing Offset Squaring Timing Recovery Multi-path Channel Impairments Equalization using the Embedded MATLAB Function Block

Prerequisites

MATLAB Fundamentals, MATLAB for Signal Processing, and Simulink for Signal Processing, or working experience with MATLAB, Simulink, and Signal Processing Toolbox.

Course Length - 1 day