Price 1540 + VAT
DURATION 1 Day

Course Overview

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 Communications Blockset
  • Analyzing the bit error rate (BER) of a communication system
  • Adding channel impairments
  • Designing receiver algorithms

Prerequisite:

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

Course Outline:

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

2. Modeling Using Communications Blockset
Objective: To use Communications Blockset to build an end-to-end QPSK model and become familiar with the different visualization tools within the blockset.

  • Communications 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

 

3. 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
4. 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 blocks
  • Adding timing offset
  • Squaring timing recovery
  • Multipath channel impairments
  • Equalization using the Embedded MATLAB Function block
5. Summary
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