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Signal Theory and Communications Area Mondragon Goi Eskola Politeknikoa UNIVERSITY OF MONDRAGON Contact:  Mikel Mendicute:  [email_address]   Egoitz Arruti:  [email_address] Signal Processing Research at the University of Mondragón
Outline University of Mondragon Signal processing team Fundamental research Applied research and industrial projects Main collaborators
1.- University of Mondragon Mondragon
1.- University of Mondragon The University Private university with three faculties: Faculty of Engineering (Mondragon High Politechnical School) Business Studies Humanities and Education Sciences Students: Close to 8000 students Funding: Student Fees Basque and Spanish Governments  R&D contracts with private companies 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
2009/2010 Budget: 26,5 M € 10-07-09 1.- University of Mondragon Budget
Outline University of Mondragón Signal processing team Fundamental research Applied research and industrial projects Main collaborators
2.- Signal Processing Team at MU Research lines at MU Engineering Faculty Structural Mechanics Technology of plastics and composites High performance machining processes Advanced processes for materials forming Fluid Mechanics Surface Technologies Operations Management Innovation and Entrepreneurship Telematics Intelligent and Distributed Control Systems Software Engineering Signal Theory and Communications Electronic Power Systems Applied to the Control Electrical Energy Drive Systems Applied to Traction and the Generation of Electrical Energy Innovation in Industrial Design Mechanical Design Acoustics and Vibrations ELECTRICAL ENERGY INFORMATION AND COMMUNICATIONS  TECHNOLOGIES ORGANIZATION AND INDUSTRIAL  MANAGEMENT SCIENCE, TECHNOLOGY AND PROCESSES OF  MATERIALS TRANSFORMATION MECHANICAL BEHAVIOUR AND PRODUCT DESIGN Investigación y Transferencia en EPS-MU 10-07-09
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 and Image processing (3 lecturers + 2 PhD students)  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. Barrenechea and I. Jiménez.
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 from Lyrtech 8 ADC + Virtex-II 8 DAC + 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. 2.- Signal Processing Team at MU Signal Theory and Communications Area
Outline University of Mondragón Signal processing team Fundamental research Applied research and industrial projects Main collaborators
Multiuser MIMO MIMO: Multiple-Input Multiple-Output Multiuser: Users share some bandwidth Broadcast (downlink) MAC (uplink) Relaying Precoding CSI estimation and feedback Funding: MULTIMIMO  MIMONET DISCOMUL (1 y 2) COMALCA TERETRANS 3.- Fundamental research
Optimization of precoding and relay algorithms for AF (amplify-and-forward) relaying in multiantenna multiuser scenarios: Vector precoding in AF relaying scenario. Sub-optimal linear precoding and relaying. Scheduling algorithms for cooperative and non-cooperative relaying trough differente repeaters. Multiuser MIMO AF relaying 3.- Fundamental research
Algorithm design and implementation: - Design of a Fixed Sphere Encoder - FPGA implementation using Xilinx System Generator Sum-rate capacity bounds: - Upper and lower bounds on the sum-rate of VP systems, based on  lattice theory. - Scheduling, QoS or balancing strategies based on the new  bounds. Vector Precoding 3.- Fundamental research
Implementation of the FSE Sample system: 6 transmit antennas and 6 single-antenna 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-based, etc.) Memoria de datos Memoria de canal UDEP 6 UDEP 5 UDEP 4 UDEP 3 UDEP 2 UDEP 1 UBM Vector Precoding 3.- Fundamental research
Digital Television New digital TV standards DVB-T2 DVB-NGH ¿New? LDPC codes Iterativa decoding Multiantenna transmission Channel estimation ICI cancelation Funding: FURIA (1,2 y 3) IKERTU (Fagor) 3.- Fundamental research
Digital Television Distributed MISO transmission in DVB-T2 and future DVB-NGH: Alamouti, Golden codes, Silver codes… Analysis of the SFBC codes in single-frequency networks (SFN) Analysis and reduction of detection complexity 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-mobility DVB standards. Iterative maximum-a-posteriori (MAP) ICI cancelation and LDPC decoding. Design of belief-propagation (BP) based ICI canceler.. 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.) 3.- Fundamental research
Outline University of Mondragón Signal processing team Fundamental research Applied research and industrial projects Main collaborators
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 canceller for digital SFN DVB-T repeaters. MC-CANCEL:  Multi-channel echo canceler. Train Switch:  Simulation of train networks and protocols . SDT/STT:  DVB-S/T transmodulation and DVB table processing. 4.- Applied research and industrial projects
Outline University of Mondragón Signal processing team Fundamental research Applied research and industrial projects Main collaborators
5.- Main collaborators Ikerlan Technologial Research Center  Signal processing for Powerline communications Two on-going PhDs: “ Robust multi access techniques for powerline communications systems “ “ Methodology for SDR integration in rapid prototyping” Indoor wireless channel measurements and modelling Office & Railway Train RF transceiver based on rapid prototyping tools First steps towards SDR industrial communication system Embedded Systems-Communications Area:
5.- Main collaborators University Groups Recent collaborations (through the internship of our PhD students and researchers at their groups): University of Edinburgh, UK. 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.

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Signal Processing at the University of Mondragon

  • 1. Signal Theory and Communications Area Mondragon Goi Eskola Politeknikoa UNIVERSITY OF MONDRAGON Contact: Mikel Mendicute: [email_address] Egoitz Arruti: [email_address] Signal Processing Research at the University of Mondragón
  • 2. Outline University of Mondragon Signal processing team Fundamental research Applied research and industrial projects Main collaborators
  • 3. 1.- University of Mondragon Mondragon
  • 4. 1.- University of Mondragon The University Private university with three faculties: Faculty of Engineering (Mondragon High Politechnical School) Business Studies Humanities and Education Sciences Students: Close to 8000 students Funding: Student Fees Basque and Spanish Governments R&D contracts with private companies 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
  • 5. 2009/2010 Budget: 26,5 M € 10-07-09 1.- University of Mondragon Budget
  • 6. Outline University of Mondragón Signal processing team Fundamental research Applied research and industrial projects Main collaborators
  • 7. 2.- Signal Processing Team at MU Research lines at MU Engineering Faculty Structural Mechanics Technology of plastics and composites High performance machining processes Advanced processes for materials forming Fluid Mechanics Surface Technologies Operations Management Innovation and Entrepreneurship Telematics Intelligent and Distributed Control Systems Software Engineering Signal Theory and Communications Electronic Power Systems Applied to the Control Electrical Energy Drive Systems Applied to Traction and the Generation of Electrical Energy Innovation in Industrial Design Mechanical Design Acoustics and Vibrations ELECTRICAL ENERGY INFORMATION AND COMMUNICATIONS TECHNOLOGIES ORGANIZATION AND INDUSTRIAL MANAGEMENT SCIENCE, TECHNOLOGY AND PROCESSES OF MATERIALS TRANSFORMATION MECHANICAL BEHAVIOUR AND PRODUCT DESIGN Investigación y Transferencia en EPS-MU 10-07-09
  • 8. 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 and Image processing (3 lecturers + 2 PhD students) 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. Barrenechea and I. Jiménez.
  • 9. 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 from Lyrtech 8 ADC + Virtex-II 8 DAC + 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. 2.- Signal Processing Team at MU Signal Theory and Communications Area
  • 10. Outline University of Mondragón Signal processing team Fundamental research Applied research and industrial projects Main collaborators
  • 11. Multiuser MIMO MIMO: Multiple-Input Multiple-Output Multiuser: Users share some bandwidth Broadcast (downlink) MAC (uplink) Relaying Precoding CSI estimation and feedback Funding: MULTIMIMO MIMONET DISCOMUL (1 y 2) COMALCA TERETRANS 3.- Fundamental research
  • 12. Optimization of precoding and relay algorithms for AF (amplify-and-forward) relaying in multiantenna multiuser scenarios: Vector precoding in AF relaying scenario. Sub-optimal linear precoding and relaying. Scheduling algorithms for cooperative and non-cooperative relaying trough differente repeaters. Multiuser MIMO AF relaying 3.- Fundamental research
  • 13. Algorithm design and implementation: - Design of a Fixed Sphere Encoder - FPGA implementation using Xilinx System Generator Sum-rate capacity bounds: - Upper and lower bounds on the sum-rate of VP systems, based on lattice theory. - Scheduling, QoS or balancing strategies based on the new bounds. Vector Precoding 3.- Fundamental research
  • 14. Implementation of the FSE Sample system: 6 transmit antennas and 6 single-antenna 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-based, etc.) Memoria de datos Memoria de canal UDEP 6 UDEP 5 UDEP 4 UDEP 3 UDEP 2 UDEP 1 UBM Vector Precoding 3.- Fundamental research
  • 15. Digital Television New digital TV standards DVB-T2 DVB-NGH ¿New? LDPC codes Iterativa decoding Multiantenna transmission Channel estimation ICI cancelation Funding: FURIA (1,2 y 3) IKERTU (Fagor) 3.- Fundamental research
  • 16. Digital Television Distributed MISO transmission in DVB-T2 and future DVB-NGH: Alamouti, Golden codes, Silver codes… Analysis of the SFBC codes in single-frequency networks (SFN) Analysis and reduction of detection complexity 3.- Fundamental research
  • 17. 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-mobility DVB standards. Iterative maximum-a-posteriori (MAP) ICI cancelation and LDPC decoding. Design of belief-propagation (BP) based ICI canceler.. 3.- Fundamental research
  • 18. 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.) 3.- Fundamental research
  • 19. Outline University of Mondragón Signal processing team Fundamental research Applied research and industrial projects Main collaborators
  • 20. 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 canceller for digital SFN DVB-T repeaters. MC-CANCEL: Multi-channel echo canceler. Train Switch: Simulation of train networks and protocols . SDT/STT: DVB-S/T transmodulation and DVB table processing. 4.- Applied research and industrial projects
  • 21. Outline University of Mondragón Signal processing team Fundamental research Applied research and industrial projects Main collaborators
  • 22. 5.- Main collaborators Ikerlan Technologial Research Center Signal processing for Powerline communications Two on-going PhDs: “ Robust multi access techniques for powerline communications systems “ “ Methodology for SDR integration in rapid prototyping” Indoor wireless channel measurements and modelling Office & Railway Train RF transceiver based on rapid prototyping tools First steps towards SDR industrial communication system Embedded Systems-Communications Area:
  • 23. 5.- Main collaborators University Groups Recent collaborations (through the internship of our PhD students and researchers at their groups): University of Edinburgh, UK. 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.

Editor's Notes

  • #14: Aunque la mayoria sabeis lo que es, os pongo en 2 traspas…