Please use this identifier to cite or link to this item: https://doi.org/10.1109/JOE.2012.2227546
Title: Seabed characterization using acoustic communication signals on an autonomous underwater vehicle with a thin-line towed array
Authors: Chotiros, N.P.
Pallayil, V. 
Keywords: Marine sediment
reflection loss
towed array
underwater acoustics
Issue Date: 2013
Source: Chotiros, N.P., Pallayil, V. (2013). Seabed characterization using acoustic communication signals on an autonomous underwater vehicle with a thin-line towed array. IEEE Journal of Oceanic Engineering 38 (3) : 410-418. ScholarBank@NUS Repository. https://doi.org/10.1109/JOE.2012.2227546
Abstract: Sediment classification was demonstrated using the self-noise of an autonomous underwater vehicle (AUV) received on a short towed array. The adopted approach was to separate the direct path and the surface-and bottom-reflected signals. Electrical interference from the source was used to verify source receiver separation. The amplitude ratio of the bottom reflected to the direct path signal levels, after compensating for the differences in absorption, spreading losses, and beam patterns, yields the bottom-reflection loss, at the applicable grazing angle. The latter is calculated from the travel time difference between the direct path and bottom-reflected signals. The method is self-calibrating, requiring absolute calibration of neither sound source nor receivers. The definitive isolation of the reflected and direct path signals and the self-calibrating property make this approach robust. The reflection loss may be compared to known seabed models to estimate sediment type. © 1976-2012 IEEE.
Source Title: IEEE Journal of Oceanic Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/115924
ISSN: 03649059
DOI: 10.1109/JOE.2012.2227546
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

7
checked on Mar 6, 2018

WEB OF SCIENCETM
Citations

6
checked on Mar 6, 2018

Page view(s)

31
checked on Feb 25, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.