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2019 | OriginalPaper | Chapter

1. Introduction to Underwater Acoustic Signal Processing

Author : Douglas A. Abraham

Published in: Underwater Acoustic Signal Processing

Publisher: Springer International Publishing

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Abstract

The topic of this book is the theory and application of signal processing in underwater acoustics. The majority of applications in underwater acoustics can be described as remote sensing where an electro-mechanical system exploits acoustic signals underwater to perform inference related to an object of interest. The most recognized application is sonar (sound only navigation and ranging) for which the stated purpose is navigation and ranging (i.e., determining the distance or range from the sonar platform to an object of interest). The techniques by which underwater measurements of acoustic pressure are converted into navigation and ranging information are what comprise the signal-processing component of a sonar system. In this chapter, underwater acoustic signal processing is introduced according to the more general detection, classification, localization, and tracking (DCLT) paradigm. Common applications of underwater acoustic signal processing are described along with specific examples of signals of interest and each of the topics in the DCLT paradigm. The chapter is concluded with an explanation of how this book is organized, who the intended audience is, and how it might be used.

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next chapter Sonar Systems and the Sonar Equation
Footnotes
1
The choice of the adjective acoustic or acoustical is made following the paradigm of [2].
 
2
Acknowledgement: CTBTO [6] with gratitude to Drs. G. Haralabus, M. Zampolli, P. Nielsen, and A. Brouwer for their assistance in identifying, accessing, and interpreting the data.
 
3
Acknowledgement: CTBTO [6] with gratitude to Drs. G. Haralabus, M. Zampolli, P. Nielsen, and A. Brouwer for their assistance in identifying, accessing, and interpreting the data.
 
4
Acknowledgement: NURC Clutter JRP [12] with gratitude to Dr. P. Nielsen (scientist in charge, Clutter 2007 Experiment) and Dr. C. Holland (ARL/PSU) who led this particular investigation.
 
5
Acknowledgment with gratitude to Prof. S. Parks, Biology Dept., Syracuse University, who acquired the data under funding from the National Oceanic and Atmospheric Administration (NOAA) and a Department of Fisheries and Oceans (DFO) Canada permit.
 
6
Acknowledgement: NURC Clutter JRP [12] with gratitude to Dr. P. Nielsen (scientist in charge, Clutter 2007 Experiment).
 
7
Acknowledgement: NURC Clutter JRP [12] with gratitude to Dr. P. Nielsen (scientist in charge, Clutter 2009 Experiment) and Dr. P. Hines, Mr. J. Scrutton, and Mr. S. Murphy (DRDC) who designed and led this particular investigation, collated and labeled the echoes.
 
8
Acknowledgement: NURC Clutter JRP [12] with gratitude to Dr. P. Nielsen (scientist in charge, Clutter 2007 Experiment).
 
9
More properly, a conical angle is estimated. The bearing is obtained, subject to a left/right ambiguity, by assuming the line array is horizontal and restricting the solution to the horizontal plane.
 
10
Acknowledgement: NURC Clutter JRP [12] with gratitude to Dr. P. Nielsen (scientist in charge, Clutter 2009 Experiment) and Dr. P. Hines, Mr. J. Scrutton, and Mr. S. Murphy (DRDC) who designed and led this particular investigation, collated and labeled the echoes.
 
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Acknowledgement: The author thanks and acknowledges the Preparatory Commission for the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO; https://​www.​ctbto.​org/​specials/​vdec/​) for providing access to the data used to produce these figures. The CTBTO is not responsible for the views of the author
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Metadata
Title
Introduction to Underwater Acoustic Signal Processing
Author
Douglas A. Abraham
Copyright Year
2019
Book
Underwater Acoustic Signal Processing

Print ISBN: 978-3-319-92981-1

Electronic ISBN: 978-3-319-92983-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-92983-5_1