Direct emitter geolocation under local scattering

Ofer Bar-Shalom*, Anthony J. Weiss

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


Abstract Emitter geolocation under local scattering environment is explored. We derive an analytic model for the received signal where the local scattering environment is modeled as a stochastic process using the Gaussian Angle of Arrival (GAA) model. For the signal model we provide both optimal and sub-optimal, computationally-simpler, 1-step (direct) emitter geolocation algorithms. The proposed algorithms enable to estimate the emitter 's position directly, using the received signal samples. The proposed algorithms extract the emitter position information from both fading channel statistics and temporal correlations when the fading channel is quasi-static. It is shown that the devised 1-step algorithms outperform 2-step emitter geolocation algorithms, formerly proposed for the problem. Numerical examples are provided to illustrate the performance. The results are compared with the theoretical performance projected by the Cramér-Rao lower bound.

Original languageEnglish
Article number5805
Pages (from-to)102-114
Number of pages13
JournalSignal Processing
StatePublished - 10 Jul 2015


  • Array processing
  • Cramér-Rao lower bound
  • Direct emitter localization
  • Least squares estimation
  • Maximum likelihood estimation


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