Undersea Acoustic Communication Maps for Collaborative Navigation
Abstract
The ability to accurately estimate signal strength can im-
prove collaborative navigation algorithms by creating greater
navigational
exibility and system robustness. This extended
abstract describes initial results on the building of underwa-
ter acoustic communication maps for an entire 2-D surface
area from a small number of signal samples collected at dis-
crete points in the area.
We formulate two types of maps - a local communication
map (LCM) and global communication map (GCM). The
LCM is de ned with respect to a xed destination point. It
is built using kriging techniques to estimate the mean and
variance of a random eld. The GCM is a compendium of
local maps and is built using bayesian inferencing to esti-
mate of a lattice of random elds. The GCM permits a
vehicle to estimate communication e ectiveness to another
location within the bounded region. We present an example
LCM and GCM derived from acoustic modem SNR datasets
recently collected in Monterey, CA.
Description
WUWNet’12, Nov. 5 - 6, 2012 Los Angeles, California, USA.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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