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WS PRESENTATION TEMPLATE

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Time mismatch between cars and communication equipment lifecycles ... Finding new signal processing algorithms which can reduce the number of Hw ... – PowerPoint PPT presentation

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Title: WS PRESENTATION TEMPLATE


1
Asier Alonso Muñoz Intelligent Transport
Communication Networks Researcher TECNALIA-TELECOM

2
SDR Based Methodology for On-Board
Communications Systems Design
3
The next big thing ?
V2V R2V I2V V2U
EFFICIENCY
SAFETY
NAVIGATION TRACKING
COMFORT INFOTAINMENT
4
Probably!, but some challenges still unsolved
  • Many radio standards forced to coexist on board,
    integrated in a single device !?
  • Time mismatch between cars and communication
    equipment lifecycles
  • Radio standards not fully harmonized worldwide

5
Our motivation
  • To find an innovative design methodology for
    on-board (and infrastructure) devices which
    enables multiple radio integration

To define a reconfigurable system architecture
which enables seamless evolution towards new
communication standards
To design a new signal processing algorithm
which, making use of new acquisition techniques,
allows reducing the number of Hw components
6
and here it comes SDR !
  • One device per ? One single device
    waveform integrating multiple
    radios
  • Many Hw components ? Single programmable
    device (FPGA, DSP)

Amplifying Filtering Downconverting
Traditional SDR platform scheme
7
What SDR provides
  • Different waveforms in a single device
  • Multiple standards integrated
  • Costs dramatically reduced
  • Manufacturing, logistical support and operating
    expenditures
  • Reconfigurability and upgradability
  • New standards, features or capabilities added
  • Over-The-Air (OTA) reprogramming
  • Lifecycle mismatch reduced ? customer
    satisfaction improved
  • Specific location-based Sw loads
  • Addressing regional/national requirements

8
SDR-based On-Board Hw Architecture
9
Signal Processing
  • Digitization in SDR systems is made
  • In theory, just after the antenna
  • In practice, after the RF front end
  • This adds limitations regarding flexibility
  • A possible solution ? direct digitization
  • Choice of an appropriate sampling frequency
  • Digital front-end design

10
Sampling Frequency Choice
  • Bandpass sampling allows supressing analog
    downconversion from the RF front-end, but it
    requires
  • Careful study of the appropriate sampling
    frequency
  • Analysis of the generated spurious signals
  • Two main benefits
  • Bandwidth reduction for acquiring multiple
    signals
  • More flexibility

11
Sampling Frequency Choice (contd)
  • Example GNSS signals GPS (L1) Galileo (E5a/b)
    ? Full Bw 400 MHz

12
Sampling Frequency Choice (contd)
  • Final frequency after aliasing is
  • Our goal was to match Galileo and GPS central
    frequencies so we obtain

Fal MFs Fo
-NFsFGPSMFs-FGal
13
Sampling Frequency Choice (contd)
  • 7 possible sampling frequencies

Final Bw 60 MHz
14
Digital Front-End Design
  • Each GNSS signal is processed independently
  • Each band is processed with a standard
    downsampling scheme

15
Results
  • Two ways of studying the behaviour of the system
  • Preliminary Simulink/Modelsim analysis ? chosen
    sampling frequency 153.7MHz
  • Laboratory tests ? measuring of dynamic range
    (main drawback of direct digitization)

16
Results (contd)
  • Dynamic range tests If signal power decreases ?
    undesired spurious signals
  • Dynamic range 40 dB ADCs DR

17
Conclusions
  • The three proposed objectives have been met
  • Choosing a new paradigm of design for
    reconfigurable systems ? SDR
  • Designing an architecture for on-board devices ?
    Generic open platform
  • Finding new signal processing algorithms which
    can reduce the number of Hw elements ? Digital
    Front-End for Direct Digitization

18
Next Steps
  • Designing a flexible analog front-end which
    allows working with different real signals
  • Research on algorithms which allow dynamic
    reconfiguration of the system

19
Thank you !
  • Asier Alonso Muñoz
  • Intelligent Transport Communication Networks
    Researcher
  • TECNALIA TELECOM
  • aalonso_at_robotiker.es
  • www.tecnalia.es/telecom
  • www.robotiker.es

20
Backup Slides
21
TECNALIA Telecom Business Unit of TECNALIA for
the Telecommunications Sector
  • TECNALIA Telecom develops its activity in the
    following Research Fields
  • Broadband Networks
  • Wireless Systems
  • Mobile Service Platforms
  • TECNALIA Telecom provides
  • Joint collaboration in Pre-competitive,
    Public-funded projects
  • Contract based Research and Development Projects
  • IPR and Research assets (Products Technology)
  • New exploitation routes for innovation spin-ins,
    spin-offs, joint-ventures, etc.

22
Telecom Wireless Systems Intelligent Transport
Communication Networks Group
  • Within the Wireless Systems Research Area, the
    Intelligent Transport Communication Networks
    Group specializes in communication technologies
    for transport/vehicular environments, focusing
    its activity in applied research for V2X in
  • On-board system optimisation (OBUs, in-vehicle
    comms CAN, BT, UWB, NFC, RFID)
  • VANET networks and devices (WAVE, 802.11p, IR,
    ZigBee)
  • Cooperative systems for road transport
  • Broadcasting (DAB, DVB-H, SDR)
  • Network architectures (3G, WiMAX, Ad-Hoc,
    routing)
  • GNSS technologies (GPS, GALILEO, EGNOS) and
    indoor guidance
  • Facts Figures
  • Research Team 1 Group Leader, 6 Researchers, 1
    PhD Researcher
  • RD Assets OpenGNSS, OpenGNSS Lite, OpenSDR,
    eOBU
  • Public Funded Research Projects CYBERCARS2
    (FP6), MOBILIZING INTERNET (ITEA), MARTA, mVIA,
    NCV2015 (Spanish Programmes), INCAVE, iMUGI
    (Basque Programmes)
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