THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2018/2019

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Engineering : Postgrad (School of Engineering)

Postgraduate Course: Array Processing and MIMO Systems (MSc) (PGEE11124)

Course Outline
SchoolSchool of Engineering CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis course will cover the current topics of interest in Array Processing and MIMO systems.

1) Introduction
2) Signal Model (1D and 2D or 3D arrays)
3) Beamforming (Conventional, optimum and adaptive beamformers, Capon method, MSE based beamforming, LCMV beamformers)
4) Source Localisation (Conventional techniques, Subspace methods such as MUSIC, Root- MUSIC, ESPRIT)
5) Detection of number of signals (MDL and AIC methods)
6) MIMO Systems: Channel Modeling and Spatial Multiplexing
7) Maximum Likelihood Parameter Estimation Practical examples of the above concepts are presented throughout the course.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Discrete-Time Signal Analysis (PGEE11026) AND Statistical Signal Processing (PGEE11027) AND Digital Signal Processing Laboratory (MSc) (PGEE11108)
Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2018/19, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 22, Seminar/Tutorial Hours 11, Formative Assessment Hours 1, Summative Assessment Hours 4, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 60 )
Assessment (Further Info) Written Exam 100 %, Coursework 0 %, Practical Exam 0 %
Additional Information (Assessment) 100% Examination
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)2:00
Learning Outcomes
The students will understand fundamentals as well as advanced concepts in array processing and MIMO Systems. They will be able to learn the recent developments such as opportunistic and multi-user multiple input multiple output (MIMO) communication techniques. These techniques have brought completely new perspectives on how to communicate over wireless channels. They will be able to quantify the wireless channel capacities and degrees of freedom regions for different channel models, such as multiple access channels, broadcast channels, interference channels, etc. Finally, they will be able to design and analysis the advanced cellular systems, for example interim of spectral and energy efficiencies, coverage, etc.
Reading List
1) P. Stoica and R. Moses, Spectral Analysis of Signals, Prentice Hall, 2005. Chapter 6 (http://user.it.uu.se/~ps/SAS-new.pdf)

2) D. Tse and P. Viswanath, Fundamentals of Wireless Communications, Cambridge University Press, 2005
(http://www.eecs.berkeley.edu/~dtse/book.html)

3) S. U. Pillai, Array Signal Processing, Springer-Verlag, 1989.
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Tharmalingam Ratnarajah
Tel: (0131 6)50 5578
Email: T.Ratnarajah@ed.ac.uk
Course secretaryMrs Megan Inch-Kellingray
Tel: (0131 6)51 7079
Email: M.Inch@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information