Efficient semidefinite relaxation for robust geolocation of unknown emitter by a satellite cluster using TDOA and FDOA measurements

Kehu Yang, Lizhong Jiang, Zhi-Quan Luo

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

26 Scopus citations

Abstract

In this paper, we consider the problem of geolocating an unknown emitter by a satellite cluster. We formulate the problem as the maximum likelihood location estimation by using TDOA and FDOA measurements and provide efficient convex relaxations for this non-convex optimization problem. We also propose a formulation for robust geolocation in the presence of satellite orbit perturbations. Simulation results confirm the efficiency and superior performance of the convex relaxation approach as compared to the existing least squares based approach when large measurement noise and orbit perturbations are present.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages2584-2587
Number of pages4
DOIs
StatePublished - Aug 18 2011
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: May 22 2011May 27 2011

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
CountryCzech Republic
CityPrague
Period5/22/115/27/11

Keywords

  • Emitter geolocation
  • FDOA
  • TDOA
  • maximum likelihood estimation
  • semidefinite programming

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