This course seeks to familiarize students with the basic foundations of communications systems, covering the concepts from signal preparations, signal transmission, and signal reception of both digital and analog systems. It specifically deals with analog and digital modulation techniques, transmission of the signal across a carrier, and the acquisition and demodulation of these signals. This leads to an introduction to modern technologies such as wireless transmission, GNSS systems, cellular technology and GSM.
The learning experience is enhanced with computer-based (MATLAB) exercises and assignments. The assignments will include: (1) a take home problem solving questions design to test student understanding of the theory; and (2) a report in the form of an IEEE paper structure on a survey of the state-of-the-art in modern communication systems. The intent is to expose the student to high level technical publications.
Amplitude Modulation Techniques: Amplitude Modulation and Demodulation; Quadrature Amplitude Modulation; Single sideband systems ; Vestigial sideband Modulation; Suppressed Carrier Amplitude Modulation
Angle Modulation Techniques: Properties of Angle Modulation; Relationship between PM and FM waves; Wide-band and narrow-band Frequency Modulation; Generation of Angle Modulated waves; Demodulation of Angle Modulated signals
Sampling & Digital Modulation Techniques:Sampling and Sampling Theorem; Quantization and Bit rates; Pulse Amplitude Modulation (PAM); Pulse Code modulation (PCM); Pulse Width Modulation (PWM); Delta Modulation (DM)
Baseband Data Transmission: Baseband transmission of digital data; Inter-symbol Interference (ISI); The Nyquist Channel; Baseband transmission of M-ary Data; The Eye Pattern; Bandpass modulation techniques; Binary Amplitude-Shift Keying; Phase-Shift Keying; Frequency-Shift Keying; M-ary digital modulation schemes
Random Signals and Noise: Probability and random variables; Gaussian random variables; Random processes; Gaussian processes; White noise; Narrowband noise
Noise in Analog Communications: Noise in communication systems; Signal-to-noise ratio; Noise factor and Noise figure; Noise in linear systems using Coherent Detection; Noise in AM Receivers using Envelope Detection; Noise in SSB Receivers
Noise in Digital Communications: Bit Error Rate; Single pulse detection in Noise; Optimum detection of PAM in Noise; Optimum detection of BPSK; Detection of QPSK and QA in Noise ; Differential Detection in Noise
One 2-hour theory final exam paper – 60%
Mid Semester exam - 20%
Assignments 20%
Upon completing this course students should be able to:
Text book:
Recommended Readings:
1. Analog and Digital Communications (Schaum's Outlines) (Paperback): by Hwei P. HsuMcGraw-Hill; 2 edition (November 19, 2002)
2. “Digital Communications: Fundamentals and applications” by Bernard Sklar, 2001
Internet Resources: