Robust target localization with multiple sensors using time difference of arrivals

Kehu Yang, Zhi Quan Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

When an unknown target emits a radio signal, its position can be localized by a network of sensors (or radar receivers) using the time difference of arrival (TDOA) information. In this paper, we consider the maximum likelihood formulation of this target localization problem and provide efficient convex relaxations for this nonconvex optimization problem. In addition, we propose a robust target localization method based on semidefinite programming when the sensor locations are not exactly known. Simulation results confirm the efficiency and superior performance of the convex relaxation approach as compared to the existing least squares based approach.

Original languageEnglish (US)
Title of host publication2008 IEEE Radar Conference, RADAR 2008
DOIs
StatePublished - 2008
Event2008 IEEE Radar Conference, RADAR 2008 - Rome, Italy
Duration: May 26 2008May 30 2008

Publication series

Name2008 IEEE Radar Conference, RADAR 2008

Other

Other2008 IEEE Radar Conference, RADAR 2008
Country/TerritoryItaly
CityRome
Period5/26/085/30/08

Keywords

  • Convex optimization
  • Sensor networks
  • Target localization

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