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<meta content="Buelens, Bart" name="eprints.creators_name" />
<meta content="Williams, Raymond" name="eprints.creators_name" />
<meta content="Sale, Arthur" name="eprints.creators_name" />
<meta content="Pauly, Tim" name="eprints.creators_name" />
<meta content="bart@sonardata.com" name="eprints.creators_id" />
<meta content="R.Williams@utas.edu.au" name="eprints.creators_id" />
<meta content="Arthur.Sale@utas.edu.au" name="eprints.creators_id" />
<meta content="Tim.Pauly@sonardata.com" name="eprints.creators_id" />
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<meta content="Simulation and modeling software has been developed to generate synthetic midwater multibeam data. Essentially, the simulator can be considered as a virtual test tank. In order to develop multibeam data analysis methods for fisheries research, it is essential to have a variety of test data sets available, which are ground truthed, georeferenced and corrected for vessel motion. Since equipment and ship time are expensive and data quality not always guaranteed, the simulator provides an effective alternative. The seabed and any objects in the water column such as fish and fish schools can be defined in a 3-dimensional space. A specification for a generic linear array multibeam sonar and its position in space and time can be chosen. The acoustic model implements the technique of acoustic ray-tracing to obtain the pressure at the transducer face, which is converted to individual samples by modeling the working of a digital multibeam system. Beamforming is performed on the fly, and both raw and beamformed complex data sets are generated. Statistical validation of the generated data has been conducted successfully. " name="eprints.abstract" />
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<meta content="J. M. Bell, "Application of optical ray tracing techniques to the simulation of sonar images," Optical Engineering, vol. 36, pp. 1806-1813, 1997.
J. M. Bell and L. M. Linnett, "Simulation and analysis of synthetic sidescan sonar images," IEE Proceedings-Radar Sonar and Navigation, vol. 144, pp. 219-226, 1997.
D. Blacknell, "Comparison of Parameter Estimators for K-Distribution," IEE Proceedings-Radar Sonar and Navigation, vol. 141, pp. 45-52, 1994.
M. J. Crocker, Handbook of acoustics: John Wiley & Sons, 1998.
E. Jakeman and R. J. A. Tough, "Generalized K-Distribution - a Statistical-Model for Weak Scattering," Journal of the Optical Society of America a-Optics Image Science and Vision, vol. 4, pp. 1764-1772, 1987.
V. M. Narayanan, P. M. Shankar, and J. M. Reid, "Non-Rayleigh Statistics of Ultrasonic Backscattered Signals," IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, vol. 41, pp. 845-852, 1994.
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<meta content="Simulation and modeling software has been developed to generate synthetic midwater multibeam data. Essentially, the simulator can be considered as a virtual test tank. In order to develop multibeam data analysis methods for fisheries research, it is essential to have a variety of test data sets available, which are ground truthed, georeferenced and corrected for vessel motion. Since equipment and ship time are expensive and data quality not always guaranteed, the simulator provides an effective alternative. The seabed and any objects in the water column such as fish and fish schools can be defined in a 3-dimensional space. A specification for a generic linear array multibeam sonar and its position in space and time can be chosen. The acoustic model implements the technique of acoustic ray-tracing to obtain the pressure at the transducer face, which is converted to individual samples by modeling the working of a digital multibeam system. Beamforming is performed on the fly, and both raw and beamformed complex data sets are generated. Statistical validation of the generated data has been conducted successfully. " name="DC.description" />
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<h1 class="ep_tm_pagetitle">Midwater acoustic modeling for multibeam sonar simulation</h1>
<p style="margin-bottom: 1em" class="not_ep_block"><span class="person_name">Buelens, Bart</span> and <span class="person_name">Williams, Raymond</span> and <span class="person_name">Sale, Arthur</span> and <span class="person_name">Pauly, Tim</span> (2003) <xhtml:em>Midwater acoustic modeling for multibeam sonar simulation.</xhtml:em> In: Acoustical Society of America Conference 2003, 10-14 Nov 2003, Austin, Texas.</p><p style="margin-bottom: 1em" class="not_ep_block"></p><table style="margin-bottom: 1em" class="not_ep_block"><tr><td valign="top" style="text-align:center"><a onmouseover="EPJS_ShowPreview( event, 'doc_preview_699' );" href="http://eprints.utas.edu.au/688/1/MultibeamSonarPaper.pdf" onmouseout="EPJS_HidePreview( event, 'doc_preview_699' );"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" class="ep_doc_icon" border="0" /></a><div class="ep_preview" id="doc_preview_699"><table><tr><td><img alt="" src="http://eprints.utas.edu.au/688/thumbnails/1/preview.png" class="ep_preview_image" border="0" /><div class="ep_preview_title">Preview</div></td></tr></table></div></td><td valign="top"><a href="http://eprints.utas.edu.au/688/1/MultibeamSonarPaper.pdf"><span class="ep_document_citation">PDF</span></a> - Requires a PDF viewer<br />100Kb</td></tr></table><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">Simulation and modeling software has been developed to generate synthetic midwater multibeam data. Essentially, the simulator can be considered as a virtual test tank. In order to develop multibeam data analysis methods for fisheries research, it is essential to have a variety of test data sets available, which are ground truthed, georeferenced and corrected for vessel motion. Since equipment and ship time are expensive and data quality not always guaranteed, the simulator provides an effective alternative. The seabed and any objects in the water column such as fish and fish schools can be defined in a 3-dimensional space. A specification for a generic linear array multibeam sonar and its position in space and time can be chosen. The acoustic model implements the technique of acoustic ray-tracing to obtain the pressure at the transducer face, which is converted to individual samples by modeling the working of a digital multibeam system. Beamforming is performed on the fly, and both raw and beamformed complex data sets are generated. Statistical validation of the generated data has been conducted successfully. </p></div><table style="margin-bottom: 1em" cellpadding="3" class="not_ep_block" border="0"><tr><th valign="top" class="ep_row">Item Type:</th><td valign="top" class="ep_row">Conference or Workshop Item (Paper)</td></tr><tr><th valign="top" class="ep_row">Keywords:</th><td valign="top" class="ep_row">acoustic modelling, multibeam sonar, sonar simulation, fisheries research</td></tr><tr><th valign="top" class="ep_row">Subjects:</th><td valign="top" class="ep_row"><a href="http://eprints.utas.edu.au/view/subjects/280210.html">280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280210 Simulation and Modelling</a></td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">688</td></tr><tr><th valign="top" class="ep_row">Deposited By:</th><td valign="top" class="ep_row"><span class="ep_name_citation"><span class="person_name">Dr Raymond Williams</span></span></td></tr><tr><th valign="top" class="ep_row">Deposited On:</th><td valign="top" class="ep_row">01 Feb 2007</td></tr><tr><th valign="top" class="ep_row">Last Modified:</th><td valign="top" class="ep_row">09 Jan 2008 02:30</td></tr><tr><th valign="top" class="ep_row">ePrint Statistics:</th><td valign="top" class="ep_row"><a target="ePrintStats" href="/es/index.php?action=show_detail_eprint;id=688;">View statistics for this ePrint</a></td></tr></table><p align="right">Repository Staff Only: <a href="http://eprints.utas.edu.au/cgi/users/home?screen=EPrint::View&eprintid=688">item control page</a></p>
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