DOCSLIB.ORG

Amplitude and Phase Sonar Calibration and the Use of Target Phase for Enhanced Acoustic Target Characterisation

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Amplitude and Phase Sonar Calibration and the Use of Target Phase for Enhanced Acoustic Target Characterisation Amplitude and phase sonar calibration and the use of target phase for enhanced acoustic target characterisation By Alan Islas-Cital A thesis submitted to The University of Birmingham for the degree of DOCTOR OF PHILOSOPHY School of Electronic and Electrical Engineering College of Engineering and Physical Sciences The University of Birmingham Edgbaston Birmingham B15 2TT October 2011 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. ABSTRACT This thesis investigates the incorporation of target phase into sonar signal processing, for enhanced information in the context of acoustical oceanography. A sonar system phase calibration method, which includes both the amplitude and phase response is proposed. The technique is an extension of the widespread standard-target sonar calibration method, based on the use of metallic spheres as standard targets. Frequency domain data processing is used, with target phase measured as a phase angle difference between two frequency components. This approach minimizes the impact of range uncertainties in the calibration process. Calibration accuracy is examined by comparison to theoretical full-wave modal solutions. The system complex response is obtained for an operating frequency of 50 to 150 kHz, and sources of ambiguity are examined. The calibrated broadband sonar system is then used to study the complex scattering of objects important for the modelling of marine organism echoes, such as elastic spheres, fluid-filled shells, cylinders and prolate spheroids. Underlying echo formation mechanisms and their interaction are explored. Phase-sensitive sonar systems could be important for the acquisition of increased levels of information, crucial for the development of automated species identification. Studies of sonar system phase calibration and complex scattering from fundamental shapes are necessary in order to incorporate this type of fully-coherent processing into scientific acoustic instruments. ACKNOWLEDGEMENTS The author wishes to gratefully acknowledge the following people and institutions. The Mexican National Committee for Science and Technology, for providing funding and making this possible. My supervisor, Mr. Phil Atkins, for his warm encouragement, valuable advice, and unending patience. For providing multiple chances for improvement and personal growth. For his kindness and generosity. I remain indebted. Dr. Trevor Francis, for developing the BEM models used in this work, and kindly sharing his knowledge and expertise. Dr. Andrew Foo, for providing friendship, support and advice as a excellent colleague and mentor. Dr. Rubén Picó and Ms. Nuria González. For their help in developing acoustic scattering models with COMSOL and for their friendship. The staff in School of Engineering for all their support. Mr. Warren Hay, for machining some of the metallic objects used as targets. Ms. Mary Winkles, Ms. Clare Walsh and Tony, for all their help at various points during these years. Ms. Yina Guo, for all her support, understanding and motivation. For making my life so much better during these challenging and exciting times. Finally, to my parents Elizabeth and Cecilio, my brother Fabián and my sister Nadia. This is for you, I missed you much. Esto es para ustedes, los quiero y los extraño. Table of Contents 1. INTRODUCTION ........................................................................... Error! Bookmark not defined. 1.1 Background and importance of acoustical oceanography ... Error! Bookmark not defined. 1.2 Challenges of acoustical oceanography ................................. Error! Bookmark not defined. 1.2.1 Quantitative methods ...................................................... Error! Bookmark not defined. 1.2.2 Uncertainties in acoustical oceanography ..................... Error! Bookmark not defined. 1.3 Enhanced information in active sonar .................................. Error! Bookmark not defined. 1.4 Echo phase as an additional sonar parameter ...................... Error! Bookmark not defined. 1.5 Importance of sonar system calibration ................................ Error! Bookmark not defined. 1.6 Research purpose and objectives ........................................... Error! Bookmark not defined. 1.6.1 Research objectives ......................................................... Error! Bookmark not defined. 1.6.2 Original contributions .................................................... Error! Bookmark not defined. 1.6.3 Thesis structure ............................................................... Error! Bookmark not defined. 2 ACOUSTIC CHARACTERIZATION OF UNDERWATER TARGETSError! Bookmark not defined. 2.1 Coherent and incoherent processing ..................................... Error! Bookmark not defined. 2.1.1 Coherent transducer operation ...................................... Error! Bookmark not defined. 2.1.2 Echoes from multiple targets ......................................... Error! Bookmark not defined. 2.1.3 Echoes from a single target ............................................ Error! Bookmark not defined. 2.1.4 Multiple paths .................................................................. Error! Bookmark not defined. 2.2 Linear systems approach to acoustic scattering ................... Error! Bookmark not defined. 2.2.1 The matched-filter receiver ............................................ Error! Bookmark not defined. 2.2.2 Target resolution and chirp transmissions ................... Error! Bookmark not defined. 2.2.3 The form function ........................................................... Error! Bookmark not defined. 2.3 Marine organism scattering ................................................... Error! Bookmark not defined. 2.3.1 Target strength measurements ...................................... Error! Bookmark not defined. 2.3.2 Marine organism scattering modelling ......................... Error! Bookmark not defined. 2.3.2.1 Acoustic models of fish .................................................... Error! Bookmark not defined. 2.3.2.2 The acoustic role of the swimbladder ............................ Error! Bookmark not defined. 2.3.2.3 Acoustic models of zooplankton ..................................... Error! Bookmark not defined. 2.3.2.4 The role of target orientation ......................................... Error! Bookmark not defined. 2.3.3 Fish and zooplankton species identification using sonarError! Bookmark not defined. 2.3.3.1 Broadband approaches to species identification .......... Error! Bookmark not defined. 2.3.3.2 Target phase for acoustic target identification ............. Error! Bookmark not defined. 2.4 Acoustic scattering of canonical geometrical targets ........... Error! Bookmark not defined. 2.4.1 Sound scattering solution approaches ........................... Error! Bookmark not defined. 2.4.1.1 Kirchhoff method ............................................................ Error! Bookmark not defined. 2.4.1.2 Exact analytical solutions ............................................... Error! Bookmark not defined. 2.4.1.3 Approximations for more complex geometries............. Error! Bookmark not defined. 2.4.2 Elastic resonances, normal modes and circumferential wavesError! Bookmark not defined. 2.4.3 Solid spheres .................................................................... Error! Bookmark not defined. 2.4.4 Kirchhoff approximation ................................................ Error! Bookmark not defined. 2.4.5 Modal solution ................................................................. Error! Bookmark not defined. 2.4.6 Fluid-filled shells ............................................................. Error! Bookmark not defined. 2.4.7 Infinite and finite cylinders ............................................ Error! Bookmark not defined. 2.4.8 Prolate spheroids ............................................................. Error! Bookmark not defined. 3 SONAR TARGET PHASE INFORMATION .............................. Error! Bookmark not defined. 3.1 Applications of signal phase information .............................. Error! Bookmark not defined. 3.1.1 Phase-based time-delay measurements ......................... Error! Bookmark not defined. 3.1.2 Phase-based velocity and dispersion measurements .... Error! Bookmark not defined. 3.1.3 Target-induced phase measurements ............................ Error! Bookmark not defined. 3.2 Coherent and incoherent scattering from a single target .... Error! Bookmark not defined. 3.3 Target echo phase in biosonar ............................................... Error! Bookmark not defined. 3.4 Target phase measurements ................................................... Error! Bookmark not defined. 3.4.1 Linear range correction .................................................. Error! Bookmark not defined. 3.4.2 Phase unwrapping ........................................................... Error! Bookmark not defined. 3.4.3 Rate-of-change of phase .................................................
Load more

Recommended publications
  • The 10Th EAA International Symposium on Hydroacoustics Jastrzębia Góra, Poland, May 17 – 20, 2016
    ARCHIVES OF ACOUSTICS Copyright c 2016 by PAN – IPPT Vol. 41, No. 2, pp. 355–373 (2016) DOI: 10.1515/aoa-2016-0038 The 10th EAA International Symposium on Hydroacoustics Jastrzębia Góra, Poland, May 17 – 20, 2016 The 10th EAA International Symposium on Hy- Dr. Christopher Jenkins: Backscatter from In- droacoustics, which is also the 33rd Symposium on • tensely Biological Seabeds – Benthos Simulation Hydroacoustics in memory of Prof. Leif Børnø orga- Approaches; nized in Poland, will take place from May 17 to 20, Prof. Eugeniusz Kozaczka: Technical Support for 2016, in Jastrzębia Góra. It will be a forum for re- • National Border Protection on Vistula Lagoon and searchers, who are developing hydroacoustics and re- Vistula Spit; lated issues. The Symposium is organized by the Prof. Andrzej Nowicki et al.: Estimation of Ra- Gdańsk University of Technology and the Polish Naval • dial Artery Reactive Response using 20 MHz Ul- Academy. trasound; The Scientific Committee comprises of the world – Prof. Jerzy Wiciak: Advances in Structural Noise class experts in this field, coming from, among others, • Germany, UK, USA, Taiwan, Norway, Greece, Russia, Reduction in Fluid. Turkey and Poland. The chairman of Scientific Com- All accepted papers will be published in the periodical mittee is Prof. Eugeniusz Kozaczka, who is the Pres- “Hydroacoustics”. ident of Committee on Acoustics Polish Academy of Sciences and Chairman of Technical Committee Hy- droacoustics of European Acoustics Association. Abstracts The Symposium will include invited lectures, struc-
    [Show full text]
  • Acoustic Seabed and Target Classification Using Fractional
    University of New Orleans ScholarWorks@UNO University of New Orleans Theses and Dissertations Dissertations and Theses 12-15-2006 Acoustic Seabed and Target Classification using rF actional Fourier Transform and Time-Frequency Transform Techniques Madalina Barbu University of New Orleans Follow this and additional works at: https://scholarworks.uno.edu/td Recommended Citation Barbu, Madalina, "Acoustic Seabed and Target Classification using rF actional Fourier Transform and Time-Frequency Transform Techniques" (2006). University of New Orleans Theses and Dissertations. 480. https://scholarworks.uno.edu/td/480 This Dissertation is protected by copyright and/or related rights. It has been brought to you by ScholarWorks@UNO with permission from the rights-holder(s). You are free to use this Dissertation in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Dissertation has been accepted for inclusion in University of New Orleans Theses and Dissertations by an authorized administrator of ScholarWorks@UNO. For more information, please contact [email protected]. Acoustic Seabed and Target Classication using Fractional Fourier Transform and Time-Frequency Transform Techniques A Dissertation Submitted to the Graduate Faculty of the University of New Orleans in partial fulllment of the requirements for the degree of Doctor of Philosophy in Engineering and Applied Sciences by Madalina Barbu B.S./MS, Physics, University of Bucharest, Romania, 1993 MS, Electrical Engineering, University of New Orleans, 2001 December, 2006 c 2006, Madalina Barbu ii To my family iii Acknowledgments I would like to express my appreciation to Dr.
    [Show full text]
  • Matteo Bernasconi Phd Thesis
    THE USE OF ACTIVE SONAR TO STUDY CETACEANS Matteo Bernasconi A Thesis Submitted for the Degree of PhD at the University of St Andrews 2012 Full metadata for this item is available in Research@StAndrews:FullText at: http://research-repository.st-andrews.ac.uk/ Please use this identifier to cite or link to this item: http://hdl.handle.net/10023/2580 This item is protected by original copyright This item is licensed under a Creative Commons Licence The use of active sonar to study cetaceans Matteo Bernasconi Submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy University of St Andrews July 2011 The use of active sonar to study cetaceans Matteo Bernasconi TABLE OF CONTENTS DECLARATIONS V ACKNOWLEDGMENTS VII ABSTRACT IX 1. INTRODUCTION 1 2. UNDERWATER ACTIVE ACOUSTIC 13 2.1 Historical notes 15 2.2 Sound: basic concepts 17 2.2.1 Sound propagation 18 2.2.2 Sound pressure and intensity 20 2.2.3 The decibel 21 2.2.4 Transmission Loss 22 2.2.5 Sound Speed 25 2.3 Transducers and beams 26 2.3.1 The beam pattern 28 2.3.2 The equivalent beam angle 29 2.3.3 Pulse and Ranging 30 2.4 Acoustic scattering 31 2.4.1 Target Strength 32 2.4.2 Target shape and orientation 33 2.4.3 Volume/area scattering coefficient 34 2.5 The sonar equation 35 3. CALIBRATION 39 3.1 The on‐axis sensitivity 41 3.2 Nearfield and Farfield 42 3.3 The TVG function 43 3.4 Standard experimental procedure 44 3.5 Calibration spheres 46 3.6 Calibration test of omnidirectional Sonar 47 3.6.1 Introduction 48 3.6.2 Method 49 3.6.3 Results & Discussion 51 3.6.4 Conclusion 57 4.
    [Show full text]
  • A Review on Deep Learning-Based Approaches for Automatic Sonar Target Recognition
    electronics Review A Review on Deep Learning-Based Approaches for Automatic Sonar Target Recognition Dhiraj Neupane and Jongwon Seok * Department of Information and Communication Engineering, Changwon National University, Changwon-si, Gyeongsangnam-do 51140, Korea; [email protected] * Correspondence: [email protected] Received: 13 October 2020; Accepted: 19 November 2020; Published: 22 November 2020 Abstract: Underwater acoustics has been implemented mostly in the field of sound navigation and ranging (SONAR) procedures for submarine communication, the examination of maritime assets and environment surveying, target and object recognition, and measurement and study of acoustic sources in the underwater atmosphere. With the rapid development in science and technology, the advancement in sonar systems has increased, resulting in a decrement in underwater casualties. The sonar signal processing and automatic target recognition using sonar signals or imagery is itself a challenging process. Meanwhile, highly advanced data-driven machine-learning and deep learning-based methods are being implemented for acquiring several types of information from underwater sound data. This paper reviews the recent sonar automatic target recognition, tracking, or detection works using deep learning algorithms. A thorough study of the available works is done, and the operating procedure, results, and other necessary details regarding the data acquisition process, the dataset used, and the information regarding hyper-parameters is presented in
    [Show full text]
  • Defense Applications of Acoustic Signal Processing
    Defense Applications of Acoustic Signal Processing Brian G. Ferguson Acoustic signal processing for enhanced situational awareness during Address: military operations on land and under the sea. Defence Science and Technology (DST) Introduction and Context Group – Sydney Warfighters use a variety of sensing technologies for reconnaissance, intelligence, Department of Defence and surveillance of the battle space. The sensor outputs are processed to extract Locked Bag 7005 tactical information on sources of military interest. The processing reveals the Liverpool, New South Wales 1871 presence of sources (detection process) in the area of operations, their identities Australia (classification or recognition), locations (localization), and their movement histo- Email: ries through the battle space (tracking). This information is used to compile the [email protected] common operating picture for input to the intelligence and command decision processes. Survival during conflict favors the side with the knowledge edge and superior technological capability. This article reflects on some contributions to the research and development of acoustic signal-processing methods that benefit warf- ighters of the submarine force, the land force, and the sea mine countermeasures force. Examples are provided of the application of the principles and practice of acoustic system science and engineering to provide the warfighter with enhanced situational awareness. Acoustic systems are either passive, in that they exploit the acoustic noise radiated
    [Show full text]
  • Acoustic Signal Processing for Ocean Exploration Kindle
    ACOUSTIC SIGNAL PROCESSING FOR OCEAN EXPLORATION PDF, EPUB, EBOOK J.M.F Moura | 676 pages | 14 Oct 2012 | Springer | 9789401046992 | English | Dordrecht, Netherlands Acoustic Signal Processing for Ocean Exploration PDF Book Several choices of starting fields are provided, including a Gaussian source beam of varying width and tilt with respect to the horizontal. Underwater acoustic communication is also finding increasing adoption as pre-warning system for underwater earthquakes or tsunamis and to monitor underwater pollution and habitat. Log in here. Keller and J. McLaren, M. View at: Google Scholar F. Read this book on SpringerLink. Download image jpg, 98 KB. Coherent ray clusters were observed in which large fans of rays with close initial conditions preserved close current dynamical characteristics over long distances. Prior and A. Sign up here as a reviewer to help fast-track new submissions. Paul C. Karasalo, and J. The tabu search begins by marching to a local minimum. Measuring currents is a fundamental practice of physical oceanographers. A year baseline inventory of modeling techniques was updated with the latest developments, including basic mathematics and references to the key literature, to guide soundscape practitioners to the most efficient modeling techniques for any given application. The bottom structure is modeled as a fluid sediment layer over a solid half-space. He has conducted more than 60 scientific expeditions in the Arctic, Atlantic, Pacific, and Indian Oceans. Ocean acidification, which occurs when CO 2 in the atmosphere reacts with water to create carbonic acid H 2 CO 3 , has increased. Most traditional active sonars are configured in what is termed a monostatic geometry, meaning that the source and receiver are at the same position.
    [Show full text]
  • Signal Processing for Synthetic Aperture Sonar Image Enhancement
    Signal Processing for Synthetic Aperture Sonar Image Enhancement Hayden J. Callow B.E. (Hons I) A thesis presented for the degree of Doctor of Philosophy in Electrical and Electronic Engineering at the University of Canterbury, Christchurch, New Zealand. April 2003 Abstract This thesis contains a description of SAS processing algorithms, offering improvements in Fourier-based reconstruction, motion-compensation, and autofocus. Fourier-based image reconstruction is reviewed and improvements shown as the result of improved system modelling. A number of new algorithms based on the wavenumber algorithm for correcting second order effects are proposed. In addition, a new framework for describing multiple-receiver reconstruction in terms of the bistatic geometry is presented and is a useful aid to understanding. Motion-compensation techniques for allowing Fourier-based reconstruction in wide- beam geometries suffering large-motion errors are discussed. A motion-compensation algorithm exploiting multiple receiver geometries is suggested and shown to provide substantial improvement in image quality. New motion compensation techniques for yaw correction using the wavenumber algorithm are discussed. A common framework for describing phase estimation is presented and techniques from a number of fields are reviewed within this framework. In addition a new proof is provided outlining the relationship between eigenvector-based autofocus phase esti- mation kernels and the phase-closure techniques used astronomical imaging. Micron- avigation techniques are reviewed and extensions to the shear average single-receiver micronavigation technique result in a 3{4 fold performance improvement when operat- ing on high-contrast images. The stripmap phase gradient autofocus (SPGA) algorithm is developed and extends spotlight SAR PGA to the wide-beam, wide-band stripmap geometries common in SAS imaging.
    [Show full text]
  • A Comparison of Two Techniques for Estimating the Travel Time of an Acoustic Wavefront Between Two Receiving Sensors
    University of Central Florida STARS Retrospective Theses and Dissertations 1984 A Comparison of Two Techniques for Estimating the Travel Time of an Acoustic Wavefront Between Two Receiving Sensors Frank J. Montalbano University of Central Florida Part of the Engineering Commons Find similar works at: https://stars.library.ucf.edu/rtd University of Central Florida Libraries http://library.ucf.edu This Masters Thesis (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Montalbano, Frank J., "A Comparison of Two Techniques for Estimating the Travel Time of an Acoustic Wavefront Between Two Receiving Sensors" (1984). Retrospective Theses and Dissertations. 4694. https://stars.library.ucf.edu/rtd/4694 A COMPARISON OF TWO TECHNIQUES FOR ESTIMATING THE TRAVEL TIME OF AN ACOUSTIC ~AVEFRONT BETWEEN TWO RECEIVING SENSORS BY FRANK J. MONTALBANO B.S.E.E., Florida Atlantic University, 1979 RESEARCH REPORT Submitted in partial "fulfillment of the requirements for the degree of Master of Science in Engineering in the Graduate Studies Program of the College of Engineering University of Central Florida Orlando, Florida Spring Tenn 1984 ABSTRACT In recent years the United States Navy has concentrated most of its Anti-Submarine Warfare (ASW) research and development efforts toward passive sonar. Its ability to locate enemy targets without being detected gives the passive sonar system a supreme strategic advantage over its active counterpart. One aspect of passive sonar signal processing is the time delay estimation of an underwater acoustic wavefront.
    [Show full text]
  • Bibliography of Acoustic Seabed Classification
    1 A Bibliography of Acoustic Seabed Classification L.J. Hamilton(1)(2) (1) Defence Science and Technology Organisation (DSTO) PO Box 44, Pyrmont, NSW 2009, Australia Email: [email protected] (2) CRC For Coastal Zone, Estuary and Waterway Management Table of Contents Abstract .................................................................................................................................... 3 Introduction.............................................................................................................................. 3 Acknowledgements.................................................................................................................. 3 Acoustic Seabed Classification................................................................................................ 4 Scientific & Technical Papers On The Use Of Roxann From The Stenmar Website ........ 45 Papers Mostly Dealing With Roxann From The Sonavision Website ............................... 50 Multibeam.............................................................................................................................. 55 Parametric Arrays .................................................................................................................. 77 Sidescan Sonar ....................................................................................................................... 79 Sub Bottom Profiling ........................................................................................................... 102 References
    [Show full text]
  • Introduction to Synthetic Aperture Sonar
    10 Introduction to Synthetic Aperture Sonar Roy Edgar Hansen Norwegian Defence Research Establishment Norway 1. Introduction SONAR is an acronym for SOund Navigation And Ranging. The basic principle of sonar is to use sound to detect or locate objects, typically in the ocean. Sonar technology is similar to other technologies such as: RADAR = RAdio Detection And Ranging; ultrasound, which typically is used with higher frequencies in medical applications; and seismic processing, which typically uses lower frequencies in the sediments. There are many good books that cover the topic of sonar (Burdic, 1984; Lurton, 2010; Urick, 1983). There are also a large number of books that cover the theory of underwater acoustics more thoroughly (Brekhovskikh & Lysanov, 1982; Medwin & Clay, 1998). The principle of Synthetic aperture sonar (SAS) is to combine successive pings coherently along a known track in order to increase the azimuth (along-track) resolution. A typical data collection geometry is illustrated in Fig. 1. SAS has the potential to produce high resolution images down to centimeter resolution up to hundreds of meters range. This makes SAS a suitable technique for imaging of the seafloor for applications such as search for small objects, imaging of wrecks, underwater archaeology and pipeline inspection. SAS has a very close resemblance with synthetic aperture radar (SAR). While SAS technology is maturing fast, it is still relatively new compared to SAR. There is a large amount of SAR literature (Carrara et al., 1995; Cumming & Wong, 2005; Curlander & McDonough, 1991; Franceschetti & Lanari, 1999; Jakowatz et al., 1996; Massonnet & Souyris, 2008). This chapter gives an updated introduction to SAS.
    [Show full text]
  • POLISH MARITIME RESEARCH Is a Scientific Journal of Worldwide Circulation
    PUBLISHER: Address of Publisher & Editor's Office: POLISH MARITIME RE SEARCH GDAŃSK UNIVERSITY No 2 (82) 2014 Vol 21 OF TECHNOLOGY Faculty CONTENTS of Ocean Engineering & Ship Technology 3 JAN P. MICHALSKI Parametric method for evaluating optimal ship deadweight ul. Narutowicza 11/12 80-233 Gdańsk, POLAND 9 DEJAN RADOJCIC, ANTONIO ZGRADIC, tel.: +48 58 347 13 66 MILAN KALAJDZIC, ALEKSANDAR SIMIC fax: +48 58 341 13 66 Resistance Prediction for Hard Chine Hulls e-mail: offi[email protected] in the Pre-Planing Regime Account number: BANK ZACHODNI WBK S.A. 27 KATARZYNA ZELAZNY I Oddział w Gdańsku A simplified method for calculating propeller 41 1090 1098 0000 0000 0901 5569 thrust decrease for a ship sailing on a given shipping lane Editorial Staff: 34 PAWEŁ DYMARSKI, CZESŁAW DYMARSKI Jacek Rudnicki Editor in Chief A numerical model to simulate the motion of a lifesaving module during its launching from the ship’s stern ramp Przemysław Wierzchowski Scientific Editor 41 ALEKSANDER KNIAT Jan Michalski Editor for review matters The quick measure of a NURBS surface curvature for accurate triangular meshing Aleksander Kniat Editor for international re la tions 45 MARIUSZ ZIEJA, MARIUSZ WAŻNY Kazimierz Kempa Technical Editor A model for service life control of selected device systems Piotr Bzura Managing Editor 50 PAWEŁ SLIWIŃSKI Flow of liquid in flat gaps Cezary Spigarski Computer Design of the satellite motor working mechanism Domestic price: 58 GRZEGORZ ROGALSKI, JERZY ŁABANOWSKI, single issue: 25 zł DARIUSZ FYDRYCH, JACEK TOMKÓW Bead-on-plate welding
    [Show full text]
  • Methods for Acoustical Analysis of Bat Echolocation and Computational Modeling of Biosonar Signal Processing
    Bio-Inspired Broadband Sonar: Methods for Acoustical Analysis of Bat Echolocation and Computational Modeling of Biosonar Signal Processing By Jason E. Gaudette M.S., University of Rhode Island, May 2005 B.S., Worcester Polytechnic Institute, May 2003 Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Center for Biomedical Engineering at Brown University Providence, Rhode Island May 2014 © Copyright 2014 by Jason E. Gaudette This dissertation by Jason E. Gaudette is accepted in its present form by the Center for Biomedical Engineering as satisfying the dissertation requirement for the degree of Doctor of Philosophy. Date James A. Simmons, Advisor Recommended to the Graduate Council Date Elie L. Bienenstock, Reader Date Rodney J. Clifton, Reader Date Diane Hoffman-Kim, Reader Date Sherief Reda, Reader Date John R. Buck, External Reader Approved by the Graduate Council Date Peter M. Weber, Dean of the Graduate School iii Curriculum Vitae Jason E. Gaudette was born on October 9th, 1980 and raised with his younger sister Renee in Raynham, Massachussets to Edward and Mary Gaudette. Graduating from Bridgewater-Raynham High School in 1999, he continued on to Worcester Polytech- nic Institute to pursue a degree in Electrical Engineering. While an undergraduate Jason studied abroad on three occasions in Madrid, Spain; San Juan, Puerto Rico; and Limerick, Ireland. He received his Bachelor of Science in 2003 with distinction, a concentration in Computer Engineering, and a minor in International Studies. Imme- diately following graduation, Jason began his career at the Naval Undersea Warfare Center in Newport, RI as an Electrical Engineer.
    [Show full text]