|Semester 2 Credit Value:||15|
Undergraduate degree level knowledge of digital signal processing and communications
To ensure students have a sound knowledge of the fundamental concepts of modern digital communications, particularly in the context of mobile communication systems.
Overview of digital and mobile communications. Digital modulation: time and frequency domain representation of baseband and passband signals for ASK, QAM, OQPSK, FSK, CPPSK, MSK, GMSK. Digital receivers: MAP criterion, orthonormal representation and the ML criterion, BER for binary signalling. Coding: linear block codes, cyclic codes, systematic cyclic codes, convolutional codes.
Advanced material drawn from:
System design issues for multitone modulation schemes. Multicarrier systems. Mobile modulation schemes. Convolutional codes and the Viterbi decoding algorithm.
Trellis coded modulation (TCM),
Turbo and low-density parity check (LDPC) codes,
Bit-interleaved coded modulation (BICM)
Multiple-input multiple output (MIMO) and space-time block code based systems.
Detailed knowledge in the areas of wireless channels, digital modulation, digital receivers, and coding theory.
Ability to distinguish a variety of modern modulation schemes.
Ability to methodically describe modern error control coding schemes.
Ability to characterise wireless channels.
|Graduate Skills Framework Applicable:||Yes|
|Guided Independent Study||Assessment preparation and completion||1||2:00||2:00||Final exam|
|Scheduled Learning And Teaching Activities||Lecture||12||2:00||24:00||N/A|
|Guided Independent Study||Assessment preparation and completion||1||20:00||20:00||Matlab assignment|
|Guided Independent Study||Assessment preparation and completion||24||0:30||12:00||Revision for final exam|
|Scheduled Learning And Teaching Activities||Practical||12||1:00||12:00||Matlab|
|Guided Independent Study||Independent study||1||80:00||80:00||Reviewing lecture notes; general reading|
Learning outcomes are achieved by a combination of lectures and self-directed learning (SDL) parts. In the lectures, the students are introduced in the theory of advanced communications, while in the SDL part of the module, the taught material is applied by the students to investigate the performance of a digital communication link that employs error control coding via simulation in Matlab.
The format of resits will be determined by the Board of Examiners
|Module Code||Module Title||Semester||Comment|
|Computer assessment||2||M||15||Matlab assignment (2500 words)|
The theoretical concepts introduced in the lectures are assessed via written exam. In addition, each student has to write a detailed report of the Matlab experiments. This report is formally assessed. The Matlab sessions illustrate the various concepts explained in class and provide students with several examples of problems encountered by R&D engineers in the telecommunication industry.
Original Handbook text:
Disclaimer: The information contained within the Module Catalogue relates to the 2016/17 academic year. In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described. Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2017/18 entry will be published here in early-April 2017. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.