COMMUNICATIONS DESIGN AND MODELING WITH SIMULINK
Course Highlight:
In the design of large and complex digital systems, it is often necessary to have one device communicate digital information to and from other devices. One advantage of digital information is that it tends to be far more resistant to transmitted and interpreted errors than information symbolized in an analog medium. This accounts for the clarity of digitally-encoded telephone connections, high-speed digital communication networks, wireless and wireline telephone transmission systems, modems, compact discs, etc and for much of the enthusiasm in the engineering community for digital communications technology. Digital communication systems are basic workhorses behind the Information Age.
This 2 day course intends to provide a working introduction to the basic topics in analog and digital communication systems. Using real-world examples, this course provides instruction on how to design end-to-end communication systems with SIMULINK, the Communications Blockset and the Signal Processing Blockset.
Course Objective:
The objective is to introduce general knowledge for participants to use SIMULINK, the Communications Blockset and the Signal Processing Blockset to design common communication systems. The course provides a variety of exercises using MATLAB & SIMULINK.
Duration:
2 Full Day
Pre-requisites:
Candidate must have experience with basic computer operations and Preferably attended our “Learner’s Guide to MATLAB” & “Learner’s Guide to Simulink”. In addition, the candidate should attend “Digital Signal Processing” course and equipped with an understanding of terminology and concepts related to common communication system.
Course Agenda:
Matlab & Communications Review
- Creating vectors and matrices
- Polynomial notation
- Structures & Plotting
- Scripts
- Functions
Amplitude Modulation with Simulink
- Building an AM model
- Visualizing signal in the frequency and time domain
- Integration with MATLAB data
- Simulating the model from MATLAB
Modeling with Communications Blockset
- Introduction to Communications Blockset
- Generating a random source
- Frame-based processing
- QPSK modulator
- Scatter plot, Pulse-shaping filter & Eye diagram
- Creating a QPSK transmitter model
- Creating QPSK receiver model
- Calculating system delay
- Calculating error rate statistics
Communication System Analysis
- Performance Analysis and BER Curve
- Automating Performance Analysis: Scripts
- Automating Performance Analysis: BERTool
- BERTool: m-file Functions
Channels, Impairments and Receiver Algorithms
- RF Impairments
- Phase and Frequency Offset
- DQPSK Modulation and Demodulation
- Use QPSK with Training Sequence
- Adding Timing Offset
- Multipath Channel
- Equalization using Embedded MATLAB
Who Should Attend:
Researchers, Lecturers, Scientists, Engineers and Managers that are involved in the design of common communication system. It is also strongly recommended for those who would like to establish and strengthen their foundation in Common Communication Engineering and are in the areas of Electrical Engineering, Computer Engineering and Computer Science.
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