ELE 4300 - Principles of Communications

2 lecture hours 2 lab hours 3 credits

Course Description
In the study of communication systems, students will investigate how they operate and what affects their performance. The course relies heavily on system and signal analysis, both in the time and frequency domains, and on the statistical representation of random signals and noise. Amplitude and angle modulation systems are analyzed, including systems that transfer analog data and systems transferring digital data. Performance comparisons of commonly used digital modulation methods are presented. Bit-error rate performance for baseband signal detection in the presence of noise is analyzed. Laboratory experiments reinforce the concepts from the lecture and include the use of software-defined radio systems.
Prereq: ELE 3310 (quarter system prereq: EE 3032 and MA 262)
Note: None
This course meets the following Raider Core CLO Requirement: None

Course Learning Outcomes
Upon successful completion of this course, the student will be able to:

Develop the representations of analog AM, FM, and PM communication signals both in the time and frequency domains
Explain the representations of digitally modulated ASK, FSK, and PSK communication signals both in the time and frequency domains
Analyze communication systems and subsystems (both analog and digital) using both time and frequency domain techniques
Explain advantages and disadvantages of various modulation systems under differing circumstances
Determine the performance of digitally modulated amplitude and angle modulation systems with a specified signal-to-noise ratio
Determine required bandwidths and signal-to-noise ratios needed to achieve specified bit-error rates for various digital modulation methods in the presence of noise, at specified bit rates
Design an optimal digital receiver for digital communication systems operating in the presence of noise

Prerequisites by Topic

Continuous-time signals and systems
Fourier series and Fourier transforms
Probability theory, random variables, and random processes

Coordinator
Dr. Cory J. Prust

Add to Portfolio.

Close Window