Title: Minimizing Trilateration Errors in the Presence of Uncertain Landmark Positions
1Minimizing Trilateration Errors in the Presence
ofUncertain Landmark Positions
- Alexander Bahr John J. Leonard
- abahr,jleonard_at_mit.edu
2Motivation Underwater Navigation
- No GPS, except when surfacing
- Low feature density (!)
- Low resolution sensor (SONAR)
- Low dead-reckoning performance in open
ocean
3Cooperative Underwater Navigation a 2D problem
4Acoustic Communication and Ranging
- Acoustic modem (Woods Hole Oceanographic
Institution) - Maximum range 200 m - 8 km
- Maximum data rate 3 bytes/s - 1 kByte/s
- 1 Channel (no FDMA scheme possible)
- Range estimate between transmitting and receiving
vehicle through globally synchronized modems
(Pulse Per Second signal) - Obtained for free Range r between vehicles
32 bytes every 10 s
5Cooperative Underwater Navigation
- Broadcast
- Position (x,y,z), uncertainty (sx, sy)
- Maybe course, speed, waypoint, etc.
- For free with broadcast range
6Cooperative Navigation Scenario
- Broadcast
- Position (x,y,z), Uncertainty (sx, sy)
- Other useful information
- course, speed, waypoint, etc.
- For free with broadcast range
x,y,z,?x,?y
x,y,z,?x,?y
x,y,z,?x,?y
x,y,z,?x,?y
7Problem Formulation
8Metrics for Position Error
- Possible error metrics
- semi-minor to semi-major axis ratio
- ellipse area
- Circular Error Probability (CEP)
9Optimal Trilateration Position
Looking for the optimal trilateration position
Knowing enables us to 1.) compute a new
quality metric
Similar to Geometric Dilution of Precision
(GDOP), BUT taking uncertain landmarks into
account
2.) use ? and as part of the cost function
for path planning
10Optimal Trilateration Position
11Future work
- Directly compute position for minimal
trilateration error - Application Planning paths which are optimized
for cooperative navigation
12 13(No Transcript)
14Overview
- Motivation
- Problem Formulation
- Metrics
- Results
- Future Work