EEC165 - Statistical And Digital Communication
4 units - Winter Quarter
Lecture: 3 hours
Project: 3 hours
Prerequisite: Courses 160, 161
Catalog Description: Introduction to random process models of modulated signals and noise, and analysis of receiver performance. Analog and digitally modulated signals. Signal-to-noise ratio, probability of error, matched filters. Intersymbol interface, pulse shaping and equalization. Carrier and clock synchronizations.
Relationship to Outcomes:
Students who have successfully completed this course should have achieved:
|Course Outcomes||ABET Outcomes|
|An ability to apply knowledge of mathematics, science, and engineering||A|
|An ability to design and conduct experiments, as well as to analyze and interpret data||B|
|An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability||C|
|An ability to identify, formulate, and solve engineering problems||E|
|An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.||K|
Expanded Course Description
- Random Process Models for Signals and Noise
- Stationarity and ergodicity
- Correlation functions
- Spectral density functions
- Representation of bandpass signals
- Wiener filtering
- Signal-to-Noise Ratio Performance for Analog Carrier Modulation
- Baseband systems
- Amplitude modulation (DSB-SC, SSB, AM)
- Corner phase estimation with a phase-locked loop, effect of noise on phase estimation
- Phase and frequency modulation
- Receivers and Probability of Error Performance for Digital Modulation
- Optimum threshold receivers and matched filtering
- ASK, PSK, FSK and spread spectrum systems
- M-ary communications, M-PSK and QAM
- Optimal Signal Detection
- Orthogonal representation of signals, signal space
- Optimum receiver and probability of error
- Intersymbol Interference and Equalization
- Bandlimited channels and intersymbol interference (ISI) pulse shaping for zero or controlled ISI
- Zero-forcing and minimum mean-square linear equalizers
- Adaptive equalizers
Laboratory Projects: Students will work in groups
of two. The first project will be a comprehensive design project
lasting 4 weeks and requiring a detailed report. The other two projects
will last 2 weeks.
- Design of a phase lock loop for phase or frequency recovery. Effect of noise.
- Design of binary receiver. Monte Carlo simulation of the probability of error and comparison to its theortical value.
- Simulation of an intersymbol interference channel. Sensitivity of the eye diagram to timing errors. Design of a simple equalizer.
Engineering Design Statement: The computer
laboratory projects will consist of designing, simulating and
evaluating the performance of components of analog and digital
communications receivers operating in noise.
- B. Lathi and Z. Ding, Modern and Digital Analog Communication Systems, Oxford University Press.
- J. Proakis and M. Salehi, Contemporary Communication Systems Using MATLAB, Brooks/Cole Publ.
Professional Component: Engineering Depth, Laboratory, Project
Engineering Science: 2 units
Engineering Design: 2 units