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MIMO Testbed presentation (DSPeR'2005)

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Presentation at the 2005 DSP Enabled Radio Conference - Signal Theory and Communications Area, University of Mondragón

Presentation at the 2005 DSP Enabled Radio Conference - Signal Theory and Communications Area, University of Mondragón

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  • 1. Platform for joint evaluation of FPGA-implemented and Matlab algorithms in real MIMO transmissions 2nd IEE/EURASIP Conference on DSP enabled Radio 19-20th September 2005, Southampton, UK M. Mendicute, J. Altuna, G. Landaburu & V. Atxa Digital Signal Processing and Communications Area Mondragon Goi Eskola Politeknikoa UNIVERSITY OF MONDRAGON
  • 2. Index
    • Introduction
    • Description of the platform
    • Application examples
    • Conclusions and future lines
    • Questions
  • 3. Index
    • Introduction
    • Description of the platform
    • Application Examples
    • Conclusions and future lines
    • Questions
  • 4. WLAN physical layer
    • A greater spectral efficiency is required.
    • Evolution of WLAN wireless networks:
    Introduction 2,4-5 GHz 100-300 Mbps 2007 802.11n 2,4 GHz 54 Mbps 2003 802.11g 5 GHz 54 Mbps 1999 802.11a 2,4 GHz 11 Mbps 1999 802.11b Band Max Bit Rate Publ. Date IEEE Standard
    • Most effective solution:
    Use of Multiple Antennas , on transmission and reception
  • 5. MIMO: Multiple-Input Multiple-Output Introduction Advantages:
    • Capacity boost.
    • Spatial diversity.
    Disadvantages:
    • Hardware multiplication.
    • Signal processing complexity.
    Matlab simulation. Off-line transmission systems.
  • 6. Implementation of real-time algorithms Introduction Real-Time Matlab Simulation
    • Quantification effects.
    • Times.
    • Resources.
    • Real signals.
    VHDL Simulation Off-Line System-level Design
  • 7. Requirements of the platform Introduction
    • System level design.
    • Simulation and implementation resolution flexibility :
    • Fixed point resolution.
    • Full-resolution simulation capability (Matlab double)
    • Cosimulation of Matlab code, VHDL designs , hardware and real signals.
    • Resources and capacity for real-time MIMO signal processing.
    • Simple and reliable flow for a signal processing and algorithm researcher.
  • 8. Index
    • Introduction
    • Description of the platform
    • Application Examples
    • Conclusion and future lines
    • Questions
  • 9. Hardware (I) Description of the platform MAX2827EVKit transceivers
    • Dual-band: 2.4GHz y 5GHz.
    • Up to 20 MHz IQ modulation.
    Analog acquisition and generation boards
    • 2 outputs: 12 bits, 20 MSPS.
    • 6 inputs: 12 bits, 20 MSPS.
    • Matlab and C++ interface.
  • 10. Hardware (II) Description of the platform Hunt Heron HEPC9
    • 400 MBps bus.
    • PCI interface.
    • Modular.
    Modules 2 HERON-IO2v2 : 2 inputs y 2 outputs up to 125 MSPS. FPGA VirtexII-1M gates. 2 HERON-FPGA3 : FPGA VirtexII-1M gates. 2 HERON-C6701 : DSP TMSC320C6701: 167MHz and 16 bits fl. point.
  • 11. Software Description of the platform Matlab + Simulink Modelsim Xilinx System Generator for DSP Xilinx ISE, Sintetizador, Core Generator Xilinx ChipScope
  • 12. Index
    • Introduction
    • Description of the platform
    • Application Examples
    • Conclusions and future lines
    • Questions
  • 13. MIMO system model Application examples
    • Flat-Rayleigh (narrowband) channel.
    • Matlab model.
    • Burst-based 2x2 spatial multiplexing system.
    Sync ChEst Data 2 Data 1
  • 14.
    • A 2x2 narrowband off-line MIMO spatial multiplexing system allows validation of Matlab algorithms with real signals.
    Off-Line transmission Application examples Acquisition and generation boards. Matlab analysis and processing RF reception front-ends. RF signal generation
  • 15. Off-Line transmission(II) Application examples
  • 16. Algorithms design – cosimulation (I) Application examples
  • 17.
    • Advantages of a System Generator design:
    • Resolution and data type flexibility.
    • JTAG-based hardware cosimulation.
    • System-level design. (Faster for signal processing engineers).
    Algorithms design – cosimulation (II) Application examples
    • Drawbacks:
    • A lower control on the final implementation.
    • Only valid for Xilinx FPGA devices.
  • 18. Implementation of real-time algorithms (I) Application examples Real-time 2x2 MIMO flat system Matlab – System Generator – Xilinx ISE translation of all algorithms. 41% 36% 24% 31%
  • 19. Implementation of real-time algorithms (II) Application examples Chipscope: real-time debugging of any signal
  • 20. Index
    • Introduction
    • Description of the platform
    • Application Examples
    • Conclusions and future lines
    • Questions
  • 21. Conclusions Conclusions and future lines
    • Basic platform for the evaluation of the implementation of real-time MIMO signal processing algorithms.
    • Easy and safe flow from Matlab code to a real implementation through Simulink and System Generator for DSP.
    • Implementation of a basic real-time MIMO system from a Matlab model.
    • Suitable platform from a signal processing or algorithmic researcher point of view.
  • 22. Future lines Conclusions and future lines
    • Extension from the basic to more realistic MIMO models: MIMO-OFDM or MIMO-SC-FDE.
    • Hardware implementation of a MIMO channel emulator.
    • Evaluation of the complexity and performance of MIMO signal processing algorithms: channel estimators, detectors, coders, etc.
    • Allow the mobility of the platform in order to develop range and performance measurements.
    • Increment of the sumbol rates up to the 20 MHz of the new WLAN standards.
  • 23. Questions ? This work is partially sponsored by the Department of Education, Universities and Research of the Basque Government through a Researcher Training Grant. Acknowledgment