Coherent Optics for Communication, Security and Sensing
| Lecturer (assistant) | |
|---|---|
| Number | 0000003681 |
| Type | lecture with integrated exercises |
| Duration | 4 SWS |
| Term | Summer semester 2026 |
| Language of instruction | English |
| Position within curricula | See TUMonline |
| Dates | See TUMonline |
Admission information
Description
Overview of key building blocks of coherent optical systems (laser, modulator, optical fiber, photodiode, coherent optical receiver, DAC and ADC, digital signal processing)
Overview of distortions in fiber-based optical systems (sampling clock offset, laser phase noise, chromatic dispersion, polarization mode dispersion)
Digital signal processing methods to compensate for these distortions (clock recovery, carrier phase and frequency offset estimation, adaptive equalization, etc.)
Application of these methods to data communication, security via quantum key distribution, and distributing fiber sensing.
Overview of distortions in fiber-based optical systems (sampling clock offset, laser phase noise, chromatic dispersion, polarization mode dispersion)
Digital signal processing methods to compensate for these distortions (clock recovery, carrier phase and frequency offset estimation, adaptive equalization, etc.)
Application of these methods to data communication, security via quantum key distribution, and distributing fiber sensing.
Prerequisites
Knowledge of digital communication systems (signals and systems, time and frequency, sampling theorem)
Basic knowledge of electro-optic components and optical fiber transmission
The lecture „Optical Communication Systems“ by Prof. Hanik is a plus
Experience in Python is a plus.
Basic knowledge of electro-optic components and optical fiber transmission
The lecture „Optical Communication Systems“ by Prof. Hanik is a plus
Experience in Python is a plus.
Teaching and learning methods
In addition to the individual methods of the students, consolidated knowledge is aspired by repeated lessons in exercises and tutorials as well as by individual programming assignments.
During the lectures, students are instructed in a teacher-centered style, i.e., via slide presentations that are supported by chalkboard explanations.
Teaching material, including slides, and the simulation framework, are provided before each class on Moodle.
The exercises are held in a student-centered way, with illustrative examples and hands-on coding exercises for the signal processing parts. For the programming exercises, a framework will be provided for students to implement the required functionalities. A sample solution will be provided after each exercise.
During the lectures, students are instructed in a teacher-centered style, i.e., via slide presentations that are supported by chalkboard explanations.
Teaching material, including slides, and the simulation framework, are provided before each class on Moodle.
The exercises are held in a student-centered way, with illustrative examples and hands-on coding exercises for the signal processing parts. For the programming exercises, a framework will be provided for students to implement the required functionalities. A sample solution will be provided after each exercise.