Optical communication theory and techniques
Code 582II
Credits 9
Learning outcomes
Prerequisites
Basic training equivalent to the first two or three years of a bachelor's degree in engineering or computer science. Essential prerequisites are knowledge of the Fourier transform and the theory of probability and stochastic processes. Students must also have familiarity with matrix notation, signal theory and linear systems theory.
Learning objectives
• Introduction to the concepts of digital transmission and detection theory.
• Understanding of the basic concepts for the analysis and design of digital communication systems, with particular attention to optical systems.
• Ability to select a suitable communication system, given the constraints imposed by the transmission channel, in relation to the desired performance.
Brief course description
The course will introduce the students to the fundamental principles of communication theory and data transmission, with emphasis on spectral characteristics of signals and performance and complexity of optical systems. The most common transmission impairments that must be taken into account when designing modern high capacity optical systems are reviewed, and the fundamentals of optical modulation and demodulation are presented on an introductory level. The structures of high-performance optical transmitters and receivers and their noise properties are also outlined.
Syllabus
1. Digital transmission theory
a) Data transmission over Gaussian channels
b) System design for band-limited channels
c) Channel and line coding
d) Adaptive equalization
2. Fundamentals of optical communications
a) Optical transmitters and modulation formats
b) Impact of fiber linear and nonlinear transmission impairments
c) Optical receivers and noise
Written exam for part 1 and oral examination for part 2.
Basic training equivalent to the first two or three years of a bachelor's degree in engineering or computer science. Essential prerequisites are knowledge of the Fourier transform and the theory of probability and stochastic processes. Students must also have familiarity with matrix notation, signal theory and linear systems theory.
Learning objectives
• Introduction to the concepts of digital transmission and detection theory.
• Understanding of the basic concepts for the analysis and design of digital communication systems, with particular attention to optical systems.
• Ability to select a suitable communication system, given the constraints imposed by the transmission channel, in relation to the desired performance.
Brief course description
The course will introduce the students to the fundamental principles of communication theory and data transmission, with emphasis on spectral characteristics of signals and performance and complexity of optical systems. The most common transmission impairments that must be taken into account when designing modern high capacity optical systems are reviewed, and the fundamentals of optical modulation and demodulation are presented on an introductory level. The structures of high-performance optical transmitters and receivers and their noise properties are also outlined.
Syllabus
1. Digital transmission theory
a) Data transmission over Gaussian channels
b) System design for band-limited channels
c) Channel and line coding
d) Adaptive equalization
2. Fundamentals of optical communications
a) Optical transmitters and modulation formats
b) Impact of fiber linear and nonlinear transmission impairments
c) Optical receivers and noise
Written exam for part 1 and oral examination for part 2.