Single Antenna Geo-location Based on Signal Structure - PowerPoint PPT Presentation

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Single Antenna Geo-location Based on Signal Structure

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Single Antenna Geo-location Based on Signal Structure (Free space Radio Signals) Elad Tzoreff, Ben-Zion Bobrovsky, Anthony J. Weiss – PowerPoint PPT presentation

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Title: Single Antenna Geo-location Based on Signal Structure


1
Single Antenna Geo-location Based on Signal
Structure
(Free space Radio Signals)
  • Elad Tzoreff, Ben-Zion Bobrovsky, Anthony J.
    Weiss

2
Background Common Geo-location methods
  • Direction of Arrival (DOA)
  • Time Difference of Arrival (TDOA)
  • Differential Doppler (DDOP)
  • Received Signal Strength (RSS)
  • Finger Printing
  • Combinations of the above

3
TDOA
RSS
DOA
DDOP
4
Common Geo-location methods
  • Multiple sensors
  • Synchronization between sensors
  • Communication between sensors
  • All these mean
  • Complex system architecture
  • Expensive support systems

5
We are interested in simplifying geo-location
system, but how?
6
Observation
  • Most radars are periodic or at least predictable

7
Digital Communication Signals
  • Communication Carrier is periodic
  • Communication symbols appear periodically
  • Communication synch frame appear periodically
  • Spreading code is periodic

8
Basic Idea and Advantages
  • Use a single moving receiver for location
  • Low cost
  • Low weight
  • Easy to hide (small, passive, moving)
  • Simple to implement
  • No synch. between sites
  • No data link between sites
  • Can enhance existing system

9
Potential Platforms
UAV
UAV
Localization shell
10
Localization Based on Signal Structure
11
TDOA Lines of Position
12
The LOPs Associated with DTOA
13
DDOP Lines of Position
14
LOPs Associated with DDOP
15
Potential Obstacles
  • Transmitter Oscillator instability
  • Receiver clock instability
  • Receiver Position inaccuracy
  • TDOA/DDOP measurements errors (Noise, BW,
    Multipath)
  • Transmitted signal is too short

16
Oscillator Imperfection Timing Errors
17
Oscillator Instability
Timing error
  • Voltage controlled
  • Temp. compensated
  • Oven compensated

h Random error intensity
18
Simulation Results
Sensor trajectory 6 Km Signal period 10
ms Sensor speed 300 m/s
19
Heat Map straight trajectory
20
Heat Map Curved Trajectory
21
At High SNR Accuracy is Limited by Oscillator
Instability
22
The Slower the Receiver Moved the Larger the error
23
For Good Oscillators the Accuracy is Determined
by SNR
24
Thank you, Questions, Comments or remarks?
25
Direct Position Determination
  • The Common Approach is a 2 Step Procedure
  • Estimate parameters (TDOA, DDOP)
  • Estimate Location from first step results
  • The Justifications
  • Easier to understand.
  • less communication between stations!!!
  • Asymptotic equivalence Extended Invariance
    Principle (EXIP Stoica Soderstrom 1989)

26
Common Approach for Location Estimation
27
Other Drawbacks
28
Direct Position Determination
  • Exact Maximum Likelihood
  • Simple 2D search (only 2 parameters are
    estimated)
  • No processing required at remote stations
  • Better accuracy at low SNR or interference
  • No association problem

29
The DPD Heat Map
30
Can we do better than DPD ?
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