BEGIN:VCALENDAR VERSION:2.0 X-WR-CALNAME:EventsCalendar PRODID:-//hacksw/handcal//NONSGML v1.0//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York LAST-MODIFIED:20240422T053451Z TZURL:https://www.tzurl.org/zoneinfo-outlook/America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT CATEGORIES:College of Engineering,Thesis/Dissertations DESCRIPTION:Topic: Active Sonar Localization with Acoustic Spiral Waves Abs tract: Acoustic Spiral-Wave Active Localization is a low-complexity techni que for determining location of acoustic targets (see Dzikowicz et. al. 20 19, JASA 146, 4821-4830), which relies on the phase difference between ref erence and spiral wavefront(s). The phase between the returned reference a nd spiral wavefronts directly encodes the target’s bearing from the tran smitter. Receivers can be standard omnidirectional hydrophones, as the pha se difference is intrinsic in the methods used to generate the waves and c ompletely independent of the receiver. This Spiral-Wave Active Localizatio n technique allows comparatively small aperture receivers to resolve targe t bearing and range as an alternative to larger beam-steering receiver arr ays, reducing hardware costs, signal processing requirements, and physical size of embedded Active Sonar Localization systems. This research present s a monostatic model of spiral detection and tracking for multiple targets in sparse noise limited environments. Trade-offs of different pulse compr ession waveforms and signal processing techniques applied to Spiral-Wave A ctive Localization will be evaluated. Simulation and experimental results from an acoustic spiral wave beacon in an underwater test tank will be pre sented. Results show good agreement to resolve targets in horizontal and v ertical planes with a compact aperture. Work supported by ONR 321. Advis or(s): Dr. David A. Brown, Professor, Dept. of Electrical & Computer Engin eering, UMASS Dartmouth Committee Members: Dr. Paul J. Gendron, Professor, Dept. of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Yifei Li , Professor, Dept. of Electrical & Computer Engineering, UMASS Dartmouth N OTE: All ECE Graduate Students are ENCOURAGED to attend. All interested pa rties are invited to attend. Open to the public. *For further informatio n, please contact Dr. David A. Brown via email at dbrown@umassd.edu.\nEven t page: https://www.umassd.edu/events/cms/11-20-26-phd-qualifier-exam-by-m ichael-r-bisbano.php X-ALT-DESC;FMTTYPE=text/html:

Topic: Active Sonar Localizatio n with Acoustic Spiral Waves

Abstract: Acoustic Spiral-Wave Active Localization is a low-complexity technique for determining location of ac oustic targets (see Dzikowicz et. al. 2019\, JASA 146\, 4821-4830)\, which relies on the phase difference between reference and spiral wavefront(s). The phase between the returned reference and spiral wavefronts directly e ncodes the target’s bearing from the transmitter. Receivers can be stand ard omnidirectional hydrophones\, as the phase difference is intrinsic in the methods used to generate the waves and completely independent of the r eceiver. This Spiral-Wave Active Localization technique allows comparative ly small aperture receivers to resolve target bearing and range as an alte rnative to larger beam-steering receiver arrays\, reducing hardware costs\ , signal processing requirements\, and physical size of embedded Active So nar Localization systems. This research presents a monostatic model of spi ral detection and tracking for multiple targets in sparse noise limited en vironments. Trade-offs of different pulse compression waveforms and signal processing techniques applied to Spiral-Wave Active Localization will be evaluated. Simulation and experimental results from an acoustic spiral wav e beacon in an underwater test tank will be presented. Results show good a greement to resolve targets in horizontal and vertical planes with a compa ct aperture. Work supported by ONR 321.

Advisor(s): Dr. David A. Brown\, Professor\, Dept. of Electrical & Computer Engineering\, UMASS Da rtmouth

Committee Members: Dr. Paul J. Gendron\, Professor\, Dept. of Electrical & Computer Engineering\, UMASS Dartmouth\; Dr. Yifei Li\, P rofessor\, Dept. of Electrical & Computer Engineering\, UMASS Dartmouth

NOTE: All ECE Graduate Students are ENCOURAGED to attend. All intere sted parties are invited to attend. Open to the public.

*For fur ther information\, please contact Dr. David A. Brown via email at dbrown@u massd.edu.

Event page: https://www.umassd.edu /events/cms/11-20-26-phd-qualifier-exam-by-michael-r-bisbano.php DTSTAMP:20261112T201912 DTSTART;TZID=America/New_York:20261120T110000 DTEND;TZID=America/New_York:20261120T130000 LOCATION:Science & Engineering Building (SENG), Room 203 SUMMARY;LANGUAGE=en-us:ELEE Research Component of PhD Qualifier Exam By Mic hael R. Bisbano - ECE Department UID:59a4f96b6a29105d598f016c28a8ffd0@www.umassd.edu END:VEVENT END:VCALENDAR