Abstract
The course presents the fundamental principles for digital communication, e.g. fixed-wire modems or wireless communication channels, as applied in mobile phones, wireless computer networks or wireless systems in intelligent houses.
Based on the functional blocks of a digital communication system, the fundamental principles for modulation and detection in Gaussian noise is treated.
This includes the principles for the determination of the bit-error rate for a digital communication system.
During the course, a selection of small Matlab exercises are prepared, for simulation of parts of a communication system.
Having passed the course, the student will be able to accomplish the following, within the areas shown below:
Model for Communication System.
Prepare and explain the functional block in a digital communication system,
corresponding to the specific course contents.
Model for Communication Channel.
Prepare and explain a model for a communication channel, corresponding to
the specific course contents.
Modulation Methods.
Explain the properties of digital modulation methods, corresponding to the
specific course contents.
Intersymbol Interference.
Explain intersymbol inteference, corresponding to the specific course contents.
Prepare and explain methods for the reduction of intersymbol interference, cor-
responding to the specific course contents.
Detection.
Prepare and explain methods for the detection of digital information symbols,
corresponding to the specific course contents.
Performance of a Digital Comunication System.
Prepare and explain a model for bit-error probability versus the energy used
per bit and channel noise, corresponding to the specific course contents.
System Simulation.
Prepare and explain a simulation program in Matlab for simulating a minor
part of a digital communication system.
Sessions in class with active participation by the students. The time will be divided between lectures and the students solving problems, including simulating digital communication building blocks in Matlab.
Combines lectures and hands-on work.
Semester: E2011
Extent: 7.5 ects
Based on the functional blocks of a digital communication system, the fundamental principles for modulation and detection in Gaussian noise is treated.
This includes the principles for the determination of the bit-error rate for a digital communication system.
During the course, a selection of small Matlab exercises are prepared, for simulation of parts of a communication system.
Having passed the course, the student will be able to accomplish the following, within the areas shown below:
Model for Communication System.
Prepare and explain the functional block in a digital communication system,
corresponding to the specific course contents.
Model for Communication Channel.
Prepare and explain a model for a communication channel, corresponding to
the specific course contents.
Modulation Methods.
Explain the properties of digital modulation methods, corresponding to the
specific course contents.
Intersymbol Interference.
Explain intersymbol inteference, corresponding to the specific course contents.
Prepare and explain methods for the reduction of intersymbol interference, cor-
responding to the specific course contents.
Detection.
Prepare and explain methods for the detection of digital information symbols,
corresponding to the specific course contents.
Performance of a Digital Comunication System.
Prepare and explain a model for bit-error probability versus the energy used
per bit and channel noise, corresponding to the specific course contents.
System Simulation.
Prepare and explain a simulation program in Matlab for simulating a minor
part of a digital communication system.
Sessions in class with active participation by the students. The time will be divided between lectures and the students solving problems, including simulating digital communication building blocks in Matlab.
Combines lectures and hands-on work.
Semester: E2011
Extent: 7.5 ects
| Original language | English |
|---|---|
| Publication date | 2011 |
| Publication status | Published - 2011 |