BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:MS Final Exam – Sarah Ahmed
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20261007T221942Z
UID:tag:localist.com\,2008:EventInstance_32945339965964
DTSTART:20200319T213000Z
DTEND:20200319T233000Z
DESCRIPTION:AoA and TDoA hybrid solution for transmitter positioning\n\nAcc
 urate positioning has become an active research area in recent years. It h
 as a wide range of applications in many fields such as navigation\, asset 
 tracking\, health care\, proximity marketing/location-based advertising\, 
 and sport analytics. Transmitter positioning via radio frequency (RF) sign
 als is the most widely encountered scenario\, and it uses a two-step proce
 ss: first\, parameters that depend on the location of the transmitter are 
 extracted from the received signal. Second\, the transmitter’s location 
 is estimated by using these parameters. Many parameters can be used\; for 
 instance\, time of arrival (TOA)\, time difference of arrival (TDOA)\, ang
 le of arrival (AOA)\, and received signal strength (RSS). Localization can
  use one or multiple of such parameters. In this thesis\, a hybrid AOA and
  TDOA method is studied. Specifically\, an array of N co-linear receiving 
 antennas are employed to estimate the transmitter position. In order to us
 e AOA\, existing research assumes that the transmitter is far away from th
 e receiving antennas and that the spacing between the receiving antennas i
 s very small (typically a fraction of one wavelength). This ensures that t
 he directions of the incident waves to all receivers are parallel\, so tha
 t there is a single AOA for all receivers. Such condition cannot be mainta
 ined for some scenarios (e.g.\, when wavelength is very large). Also\, in 
 order to use valid TDOAs\, the receiving antennas cannot be placed very cl
 ose to one another\, which will result a unique AOA for each of the receiv
 ing antennas. This research develop solutions for the cases where the abov
 e constraints cannot be maintained. A maximum likelihood (ML) estimator is
  developed to obtain the AOA of each receiving antenna assuming that the a
 ntenna spacing must be sufficiently large. A cross correlation algorithm i
 s used to determine the TDOA between the received signals. Finally\, an al
 gorithm that jointly processes the AOAs and the TDOAs to estimate the posi
 tion of the transmitter is developed.\n\nMajor Advisor: Huaping Liu\nCommi
 ttee: Raviv Raich\nCommittee: Jinsub Kim\nGCR: Thomas Schmidt
GEO:44.567164;-123.278692
LOCATION:Kelley Engineering Center\, 1114
SUMMARY:MS Final Exam – Sarah Ahmed
URL;VALUE=URI:https://events.oregonstate.edu/event/ms_final_exam_sarah_ahme
 d
CATEGORIES:Lecture or Presentation
END:VEVENT
END:VCALENDAR