ECET 380 Week 1 Lab Simulation of a Fundamental Communication System NEW WORK
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ECET 380 Week 1 Lab Simulation of a Fundamental Communication System NEW
Key Conclusions (technical):
Key Conclusions (critical thinking):
1. Introduction to the MATLAB Communications Toolbox.
2. Use various functions of the Communications Toolbox to simulate a fundamental communication system.
3. Using stem plots, scatterplots, and BER plots, observe various characteristics of the transmitter, channel, and receiver in both ideal and noisy conditions.
II. PARTS LIST
IBM PC or Compatible with Windows 2000 or Higher
MATLAB Version 7.1 or Higher
The MATLAB software is a popular and powerful tool frequently used across varied industries in the simulation and modeling of systems, wireless and otherwise. Through the use of MATLAB, systems behavior can be predicted and analyzed in conditions as close to practical as possible. Of special interest to the study of wireless systems is MATLAB’s Communications Toolbox. This Toolbox can be used to simulate, evaluate and analyze an entire wireless system from end to end. Models are developed to include the entire system, from the baseband signal conditioning, to modulation schemes, through the effects of stochastic radio channels, and finally to demodulation and error calculations. Having the ability to use MATLAB’s Communications Toolbox gives the aspiring wireless communications engineer a solid background for future investigation in this fast- expanding field.
A. Overview of the Communications Toolbox
1. Open MATLAB and familiarize yourself with the Default Layout, which includes the Current Directory, Command History and Command Window. You will be working primarily in the Command Window, but the other windows may provide useful information in the future.
2. The Command Window is a command line environment, much like DOS or UNIX. You will type all commands in this lab at the >> prompt. Following each command, you will need to hit the Enter key. Also, if you are working in the Citrix environment, there may be a lag in MATLAB’s response. Some operations are VERY processor intensive – just be patient.
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