The document summarizes signal processing research at the University of Mondragón. The university has over 8000 students and receives funding from student fees, government organizations, and R&D contracts with private companies. The signal processing team focuses on areas like vision and image processing, digital communications systems, and signal processing for communications. Their fundamental research includes projects on multi-user MIMO, vector precoding, and optimization of relay algorithms for amplify-and-forward systems.

1. Signal Processing
Research at the
University of Mondragón
Signal Theory and Communications Area
Mondragon Goi Eskola Politeknikoa
UNIVERSITY OF MONDRAGON
Contact:
Mikel Mendicute: mmendikute@eps.mondragon.edu
Egoitz Arruti: earruti@eps.mondragon.edu

2. Outline
1. University of Mondragon
2. Signal processing team
3. Fundamental research
3 F d t l h
4 Applied research and industrial projects
4.
5. Main collaborators
Signal Processing at the University of Mondragon 2

3. 1.-
1.- University of Mondragon
Mondragon
Signal Processing at the University of Mondragon 3

4. 1.-
1.- University of Mondragon
The University
Private university with three faculties:
Faculty of Engineering (Mondragon High Politechnical School)
Business St di
B i Studies
Humanities and Education Sciences
Students:
Close to 8000 students
Funding:
Student Fees
Basque and Spanish Governments
R&D contracts with private companies
t t ith i t i
Mondragon Corporation:
Biggest industrial corporation in the Basque Country (7th in Spain)
90000 workers, 75% of them cooperativists (owners of the company)
The University is a cooperative and member of the corporation
Includes 12 research centers, around 260 companies
Signal Processing at the University of Mondragon 4

5. 1.-
1.- University of Mondragon
Budget
2009/2010 Budget: 26,5 M €
27%
35%
9%
29%
Students
Projects under Contract and Technological Transfer
University Plan
Competitive Projects
Signal Processing at the University of Mondragon 10-07-09

6. Outline
1. University of Mondragón
2. Signal processing team
3. Fundamental research
3 F d t l h
4 Applied research and industrial projects
4.
5. Main collaborators
Signal Processing at the University of Mondragon 6

7. 2.-
2.- Signal Processing Team at MU
Research lines at MU Engineering Faculty
ORGANIZATION AND INDUSTRIAL
MANAGEMENT
MECHANICAL BEHAVIOUR AND
PRODUCT DESIGN Operations Management
Innovation and Entrepreneurship
Innovation in Industrial Design
Mechanical Design
Acoustics and Vibrations
INFORMATION AND COMMUNICATIONS
TECHNOLOGIES
SCIENCE, TECHNOLOGY AND PROCESSES OF Telematics
MATERIALS TRANSFORMATION Intelligent and Distributed Control Systems
Structural Mechanics Software Engineering
Technology of plastics and composites Signal Theory and Communications
High performance machining processes
Advanced processes for materials forming ELECTRICAL ENERGY
Fluid Mechanics Electronic Power Systems Applied to the
Surface Technologies Control Electrical Energy
Drive Systems Applied to Traction and the
Generation of Electrical E
G ti f El t i l Energy
Investigación y Transferencia en EPS-MU 10-07-09
Signal Processing at the University of Mondragon 7

8. 2.-
2.- Signal Processing Team at MU
Signal Theory and Communications Area
Signal Theory and Communications Area:
12 lecturers (7 doctors)
( )
7 PhD students
10 grant students (1/2 day, MsC projects , etc.)
3 Teams:
Vision d Image processing (3 l t
Vi i and I i lecturers + 2 PhD students)
t d t )
Digital systems for communications and control (5 lecturers + 1 PhD Student)
Signal processing for communications:
5 Lecturers
E. Arruti, J. M. Zabalegui, I.Sobrón, J. Altuna and M. Mendicute.
5 PhD students
Digital TV: I. Sobrón, L. Martínez and P. Ochandiano
Multiuser MIMO M B
M lti MIMO: M. Barrenechea and I Ji é
h d I. Jiménez.
Signal Processing at the University of Mondragon 8

9. 2.-
2.- Signal Processing Team at MU
Signal Theory and Communications Area
Main tools for signal processing:
2 Hunt Heron HEPC9 boards
6 Virtex-II FPGAs
2 TI DSPs.
4 Maxim RF front-ends (IQ input/output)
20 MHz, 2.4 – 5.2 GHz
1 VHS chasis f
h i from L t h
Lyrtech
8 ADC + Virtex-II
8 DAC + Virtex-II
Virtex II
SignalMaster QUAD (2 DSP + 2 FPGAs Virtex-4)
2 Quad front-ends from Lyrtech (Maxim chips)
2 Agilent VXI + Vector Signal Analyzer (2 singles, one double)
DVB generation and analysis equipment
Generic equipment: generators, network analyzers, etc.
G i i t t t k l t
Signal Processing at the University of Mondragon 9

10. Outline
1. University of Mondragón
2. Signal processing team
3. Fundamental research
3 F d t l h
4 Applied research and industrial projects
4.
5. Main collaborators
Signal Processing at the University of Mondragon 10

11. 3.-
3.- Fundamental research
Multiuser MIMO
MIMO: Multiple-Input Multiple-Output
Multiuser: Users share some bandwidth
Broadcast (downlink)
MAC (uplink)
Relaying
Precoding
CSI estimation
ti ti and
d
feedback
Funding:
MULTIMIMO
MIMONET
DISCOMUL (1 y 2)
COMALCA
TERETRANS
Signal Processing at the University of Mondragon 11

12. 3.-
3.- Fundamental research
Multiuser MIMO AF relaying
Optimization of precoding and relay algorithms for AF (amplify-and-
forward) relaying in multiantenna multiuser scenarios:
) y g
– Vector precoding in AF relaying scenario.
– Sub-optimal linear precoding and relaying.
– Scheduling algorithms for cooperative and non-cooperative relaying
trough differente repeaters.
Signal Processing at the University of Mondragon

13. 3.-
3.- Fundamental research
Vector Precoding
Algorithm design and implementation:
- Design of a Fixed Sphere Encoder
- FPGA implementation using Xilinx System Generator
Sum-rate capacity bounds:
-UUpper and l
d lower b
bounds on th sum-rate of VP systems, b
d the t f t based on
d
lattice theory.
- Scheduling, QoS or balancing strategies based on the new
bounds.
Signal Processing at the University of Mondragon 13

14. 3.-
3.- Fundamental research
Vector Precoding
Implementation of the FSE
– Sample system:
• 6 transmit antennas and 6 single-antenna users
users.
• 16-QAM modulation
• Tree-search configuration vector: n=[1,1,1,1,2,6]
• 3 pipeline stages
• Optimization for FPGA implementation: reduction of FPGA area and required
embedded multipliers.
• Complexity and performance comparison of other well-known algorithms (K-Best, LLR-
p y p p g ( ,
based, etc.)
Memoria
de datos
UBM
UDEP 6 UDEP 5
UDEP 4
UDEP 3
UDEP 2
UDEP 1
Memoria
de canal
Signal Processing at the University of Mondragon

15. 3.-
3.- Fundamental research
Digital Television
New digital TV standards
DVB-T2
DVB-NGH
¿New? LDPC codes
Iterativa decoding
g
Multiantenna transmission
Channel estimation
ICI cancelation
Funding:
g
FURIA (1,2 y 3)
IKERTU (Fagor)
Signal Processing at the University of Mondragon 15

16. 3.-
3.- Fundamental research
Digital Television
Distributed MISO transmission in DVB-T2 and future DVB-NGH: Alamouti,
Golden codes, Silver codes…
Analysis f the
A l i of th SFBC codes i single-frequency networks (SFN)
d in i l f t k
Analysis and reduction of detection complexity
Signal Processing at the University of Mondragon 16

17. 3.-
3.- Fundamental research
Digital Television
ICI cancelation algorithms for high-mobility DVB-T2 and DVB-NGH
scenarios:
Analysis of the influence of ICI and its cancelation on the performance of high-
high
mobility DVB standards.
Iterative maximum a posteriori (MAP) ICI cancelation and LDPC decoding
maximum-a-posteriori decoding.
Design of belief propagation (BP) based ICI canceler
belief-propagation canceler..
Signal Processing at the University of Mondragon
17

18. 3.-
3.- Fundamental research
Digital Television
Channel and ICI estimation for new DVB standards:
Pilot distribution
Decision-based iterative channel estimation
BEM (Basic Expansion Model) based channel estimation for high-doppler
channels.
Extension to MISO transmission (Alamouti, Golden, etc.)
Signal Processing at the University of Mondragon
18

19. Outline
1. University of Mondragón
2. Signal processing team
3. Fundamental research
3 F d t l h
4. Applied research and industrial projects
5. Main collaborators
Signal Processing at the University of Mondragon 19

20. 4.-
4.- Applied research and industrial projects
Signal processing and communications projects for industry:
Algorithm design and simulation.
FPGA and DSP implementation of signal processing algorithms.
Digital television.
Simulation of train networks and communications protocols
GAP-FIL: Channel equalizer for DVB-T repeaters.
CANCEL: Echo
CANCEL E h canceller f di it l SFN DVB T repeaters.
ll for digital DVB-T t
MC-CANCEL: Multi-channel echo canceler.
Train S itch Sim lation of train net orks and protocols
Switch: Simulation networks protocols.
SDT/STT: DVB-S/T transmodulation and DVB table processing.
Signal Processing at the University of Mondragon

21. Outline
1. University of Mondragón
2. Signal processing team
3. Fundamental research
3 F d t l h
4 Applied research and industrial projects
4.
5. Main collaborators
Signal Processing at the University of Mondragon 21

22. 5.-
5.- Main collaborators
Ikerlan Technologial Research Center
Embedded Systems-Communications Area:
• Signal processing for Po erline comm nications
Powerline communications
• Two on-going PhDs:
g g
“Robust multi access techniques for powerline communications
systems “
“Methodology for SDR integration in rapid prototyping”
Methodology prototyping
• Indoor wireless channel measurements and modelling
Office & Railway Train
• RF transceiver based on rapid prototyping tools
First
Fi steps towards SDR i d i l communication system
d industrial i i
Signal Processing at the University of Mondragon

23. 5.-
5.- Main collaborators
University Groups
Recent collaborations (through the internship of our PhD students
and researchers at their groups):
University of Edinburgh, UK.
y g
Queen’s University Belfast, UK.
Technical University of Munich, Germany.
University of Turku, Finland.
University of Braunschweig, Germany.
Chalmers University, Sweden.
University of Stratchclyde, UK.
École Polytechnique Fédérale de Lausanne, Switzerland.
Signal Processing at the University of Mondragon