Postgraduate Course: Array Processing and MIMO Systems (MSc) (PGEE11124)
Course Outline
School | School of Engineering |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
SCQF Credits | 10 |
ECTS Credits | 5 |
Summary | This 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.
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Course description |
Not entered
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Course Delivery Information
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Academic year 2015/16, Not available to visiting students (SS1)
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Quota: None |
Course Start |
Semester 2 |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
100
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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 )
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Assessment (Further Info) |
Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
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Additional Information (Assessment) |
20% two assignments 10% each
80% Examination
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Feedback |
Not entered |
Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
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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.
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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.
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Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | Not entered |
Contacts
Course organiser | Dr Tharmalingam Ratnarajah
Tel: (0131 6)50 5578
Email: |
Course secretary | Mrs Sharon Potter
Tel: (0131 6)51 7079
Email: |
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© Copyright 2015 The University of Edinburgh - 21 October 2015 12:39 pm
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