conference paper
Acoustic node calibration using helicopter sounds and Monte Carlo markov chain methods
2004
3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th Digital Signal Processing Workshop
A Monte-Carlo method is used to calibrate a randomly placed sensor node using helicopter sounds. The calibration is based on using the GPS information from the helicopter and the estimated DOA's at the node. The related Cramer-Rao lower bound is derived and the effects of the GPS errors on the position estimates are derived. Issues related to the processing of the field data, e.g., time synchronization and data nonstationarity are discussed. The effects of the GPS errors are shown to be negligible under certain conditions. Finally, the results of the calibration on field data are given.
Type
conference paper
Author(s)
McClellan, J. H.
Date Issued
2004
Published in
3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th Digital Signal Processing Workshop
Start page
347
End page
351
Editorial or Peer reviewed
NON-REVIEWED
Written at
OTHER
EPFL units
| Event name | Event place | Event date |
Taos Ski Valley, NM | August, 2004 | |
Available on Infoscience
September 7, 2010
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