Time-delay and Doppler-shift based geolocation by Semi-Definite Programming

Joseph S. Picard*, Anthony J. Weiss

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Semi-Definite Programming (SDP) has been widely used for geolocation based on time-delay data. It offers lower computational costs at the expense of slight accuracy decreases. In this work, we consider the case of Doppler data, that is overlooked in existing works, since convex relaxation for Doppler data seems less obvious than for time-delay data. We fill this gap and provide SDP solutions for Doppler-based geolocation. We also show that geolocation based on both Doppler and time-delay data requires the same relaxation as geolocation based on time-delay data only or Doppler data only.

Original languageEnglish
Title of host publicationProceedings of the 20th European Signal Processing Conference, EUSIPCO 2012
Pages1189-1193
Number of pages5
StatePublished - 2012
Event20th European Signal Processing Conference, EUSIPCO 2012 - Bucharest, Romania
Duration: 27 Aug 201231 Aug 2012

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference20th European Signal Processing Conference, EUSIPCO 2012
Country/TerritoryRomania
CityBucharest
Period27/08/1231/08/12

Keywords

  • Convex relaxation
  • Doppler
  • Geolocation
  • SemiDefinite programming
  • Time-delay

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