Eladio Martin - Presentation at Emerging Communications Conference & Awards (eComm 2011)
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Eladio Martin - Presentation at Emerging Communications Conference & Awards (eComm 2011)

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Please see blog http://blog.eComm.ec

Please see blog http://blog.eComm.ec

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Eladio Martin - Presentation at Emerging Communications Conference & Awards (eComm 2011) Eladio Martin - Presentation at Emerging Communications Conference & Awards (eComm 2011) Presentation Transcript

  • eComm 2011, San Francisco Alternatives to GPS for Localization Leveraging Smart Phones. June 29th 2011
    Slide 2 of 16
  • Location Applications
    Monitoring
    Tracking
    Assisted Living
    Targeted advertising
    Social Networking
    • 10% of all the iPhone applications employ location information
    • A quarter of all USA wireless phone users have utilized LBS
    Slide 3 of 16
  • Satellite Navigation Systems
    USA: GPS
    European Union: Galileo (2014)
    € 5.3 billion
    Russia: GLONNAS (2011)
    Most expensive project in Russian Federal Space Agency
    China: Compass (2020)
    • Other regional satellite-based systems:
    • France: Doris
    • India: IRNSS (2014)
    • Japan: QZSS (2013)
    Slide 4 of 16
  • GPS Accuracy ~ 6 meters
    GPS errors’ sources:
    Ionospheric effects (±5meters),
    Shifts in the satellite orbits (±2.5 meters),
    Satellite clock errors (±2 meters),
    Multipath effects (±1 meters),
    Tropospheric effects (±0.5 meters),
    Calculation and rounding errors (±1 meters)
    Slide 5 of 16
  • Main Drawbacks of Satellite Systems
    • Power
    • Coverage
    Slide 6 of 16
  • Satellite Navigation Systems
    USA: GPS
    European Union: Galileo (2014)
    € 5.3 billion
    Russia: GLONNAS (2011)
    Most expensive project in Russian Federal Space Agency
    China: Compass (2020)
    • Other regional satellite-based systems:
    • France: Doris
    • India: IRNSS (2014)
    • Japan: QZSS (2013)
    Slide 7 of 16
  • Alternatives to GPS
    • High Sensitivity GPS
    Advanced signal processing techniques.
    • Low accuracy
    • Inertial Navigation Units (acc + gyro)
    • Very expensive.
    • Radio Fingerprinting
    Slide 8 of 16
  • WiFi Fingerprinting in the iPhone
    Slide 9 of 40
  • Outdoor WiFi Fingerprinting in Smart Phones
    • Accuracy depends on density of Access Points
    Typical error: 50 meters.
    • Example: WiFi-based Localization by Google
    Slide 10 of 16
  • Radio Fingerprinting
    Slide 11 of 40
  • Cellular Fingerprinting
    • Existing systems need Dedicated Hardware
    • Smart Phones:
    • Granularity is poor and Hardware dependent
    • Slow refreshing rate
    • Only RSSI information from the same SIM card operator
    Slide 12 of 16
  • Fingerprinting with other Technologies
    • Bluetooth
    • Accuracy of up to 1.2 meters
    • Dedicated Hardware
    • Conventional Radio
    • Dedicated Hardware
    • Low accuracy (urban suburb)
    • Digital TV
    • Dedicated Hardware
    • Zigbee
    • Dedicated Hardware
    Slide 13 of 16
  • State-of-Art in WiFi Fingerprinting
    • Radar, by Microsoft
    • Accuracy 2 – 3 meters
    • Dedicated Hardware
    • Ekahau
    • Accuracy 1 – 3 meters
    • Dedicated Hardware
    Slide 14 of 16
  • Improvements that Smart Phones can bring to Fingerprinting
    • Integrate both the online and offline phases in fingerprinting
    • Avoid errors due to differences in antenna characteristics and measurement schemes between different equipments
    • e.g. 10 dB between Dell Latitude laptop and Motorola Droid phone
    • Leverage accelerometer (gravity vector) and magnetometer (orientation)
    • Orientation of phone helps enhance the localization accuracy
    Slide 15 of 16
  • WiFi Fingerprinting with Smart Phones
    Slide 16 of 40
  • Stride Length Estimation with Wavelet
    Slide 17 of 40