L. Maia, lussacmaia(at)gmail.com
A Silva, asilva(at)ualg.pt
S.M. Jesus sjesus(at)ualg.pt
LARSys, University of Algarve, Campus de Gambelas, PT-8005-139 Faro, Portugal.
Comments: download pdf file (not available).
Ref.: MTS/IEEE Oceans, Aberdeen, June 2017.
Abstract
This paper presents experimental results of coherent communications comparing the following methods
of underwater channel identification applied to a time-reversal processor: pulse compression, L1-norm
regularization and channel physical modeling. The first method is the Passive Time Reversal in its
conventional form: a low complexity technique to mitigate intersymbol interference due to multipath
propagation; the second method is an estimator of sparse channels, inspired by the theory of compressed
sensing; and the third method is the proposed environmental-based approach that generates channel
replicas through inverse numerical modelling using the physical properties of the underwater media
between the emitter and the receiver. Data from a quadrature-phase-shift-keyed low resolution image
transmitted on May 27, 2011 during the Underwater Acoustic Network 2011 experiment conducted off the
coast of Throndheim (Norway), are processed using these three methods and their mean square error
performance is compared. The results show that the proposed environmental-based approach outperforms
the other two channel identification methods by one to four dB over the duration of the transmitted
image packet.
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