Time-delay and Doppler-shift based geolocation in the presence of outliers

Joseph S. Picard, Anthony J. Weiss

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

Abstract

We address the problem of locating a stationary transmitter using receivers embedded in fast moving platforms. It is required to estimate the emitter location using time-delay and Doppler-shift measurements realized by the receivers at successive locations along their trajectories. Most publications consider small error measurements only, and overlook the possible presence of outliers in the set of time-delay and Doppler-shift measurements. In this work we discuss localization in the presence of outliers, where several measurements are severely corrupted while sufficient other measurements are reasonably precise. Following convexity and sparsity principles, we propose a localization algorithm with robustness against outliers.

Original languageEnglish
Title of host publication2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
Pages53-56
Number of pages4
DOIs
StatePublished - 2011
Event2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011 - San Juan, Puerto Rico
Duration: 13 Dec 201116 Dec 2011

Publication series

Name2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011

Conference

Conference2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
Country/TerritoryPuerto Rico
CitySan Juan
Period13/12/1116/12/11

Keywords

  • Convexity
  • Doppler-Shift
  • Frequency-Difference- of-Arrival
  • Outliers
  • Sparsity
  • Time-Delay

Fingerprint

Dive into the research topics of 'Time-delay and Doppler-shift based geolocation in the presence of outliers'. Together they form a unique fingerprint.

Cite this