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Jason Crosby, Capt, USAF Air Force Institute of Technology Wright-Patterson AFB, Ohio Overall Classification: UNCLASSIFIED Motivation Goals Assumptions INS Model TDOA Model OFDM Signal Structure Receiver Model


  1. Jason Crosby, Capt, USAF Air Force Institute of Technology Wright-Patterson AFB, Ohio Overall Classification: UNCLASSIFIED

  2. • Motivation • Goals • Assumptions • INS Model • TDOA Model • OFDM Signal Structure • Receiver Model • Boundary Correlator • TDOA Calculations • Simulation Results • Conclusions • Future Research

  3. • Current Reliability on GPS • Susceptible to Jamming • Unavailable Indoors • Poor Performance in Urban Areas and Canyons

  4. ADVANTAGES DISADVANTAGES • Many possible signals • Signals are usually not • Great signal diversity optimized for navigation (direction and frequency) • Example: Timing not • Number of signals is considered generally higher in urban • Availability varies according areas to location • Can be high power - potential to penetrate into • Usually need to know buildings transmitter locations (or at • No infrastructure least direction) required - they already • Antenna/hardware challenges exist by definition! • Multipath: Will be an issue • Advances in radio with almost any indoor RF- technology based navigation system • Software-defined radios

  5. Completed 1. Combine previous approach with INS to remove reference receiver 2. Simulate system measurements and updates for proof of concept in 2D Future Research 3. Analyze effects and propose mitigation techniques for transmitter clock drift 4. Use 6DOF model and actual INS measurements and analyze performance

  6. • Signal of Opportunity • Established Infrastructure • Operate within frequency range of receivers • Possess known modulation/signal structure (OFDM) • Transmitter locations are known • No Multipath • Neglecting clock errors • Can Initialize INS (at least initially) • Initial position known • Initial Transmitter locations relative to INS known

  7. VARIABLES F xb = acceleration from x accelerometer F yb = acceleration from y accelerometer V xi = velocity in x direction V yi = velocity in y direction Z b
 Y b
 X i = position in x direction Y i = position in y direction = Angular rate about z direction = Angle about z direction f yb
 Accelerometer
 X b
 STATES (Kalman Filter) f xb
 X i Gyroscope
 Y i V xi V yi

  8. • Use of a SoOp requires a reference to compute a TDOA • The INS gives us a series of relative positions over time • The different positions occur at different times, so how do we compute a TDOA? (next slide…) Δ R RI R1

  9. OFDM Transmitter

  10. Cyclic Prefix

  11. Where Note that � initial was 0 for all simulations initial was 0 for all simulations

  12. Trajectory plot of TDOA Trajectory plot of TDOA aided INS with three aided INS with three transmitters oversampled transmitters

  13. Position errors for three Position errors for three oversampled transmitters transmitters

  14. RMS position error over time for three transmitters

  15. Trajectory plot of TDOA Trajectory plot of TDOA aided INS with one aided INS with one transmitter oversampled transmitter

  16. Position errors for one Position errors for one oversampled transmitter transmitter

  17. RMS position error over time for one transmitter

  18. • OFDM signals can be used to aid an INS without the need for a reference receiver. • Increasing the number of transmitters can increase position accuracy. • Oversampling the OFDM signal can increase position accuracy.

  19. • Add and Analyze effects of transmitter and receiver clock errors • Move to 3D 6DOF model with actual INS measurements

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