Direct position determination of OFDM signals

Ofer Bar-Shalom*, Anthony J. Weiss

*Corresponding author for this work

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


Direct Position Determination (DPD) has recently been proposed [1] as a high-accuracy technique for emitter localization. It has been shown that DPD outperforms traditional emitter localization methods such as Angle-Of-Arrival (AOA) and Time-Of-Arrival (TOA) as it solves the localization problem using the data collected at all sensors at all base stations together, as opposed to the traditional AOA/TOA approach that is composed of two separate steps: 1) AOA/TOA independent estimates and 2) triangulation based on the results of the first step (see e.g., [2]). The signal model in [1] assumed a narrow-band Gaussian source with a rather simple flat-fading channel model. Here we extend the DPD algorithm to OFDM signals that propagate through a frequency-selective channel and derive the Maximum Likelihood Estimator (MLE) for the problem.

Original languageEnglish
Title of host publicationSPAWC 2007 - 8th IEEE Workshop on Signal Advances in Wireless Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)1424409551, 9781424409556
StatePublished - 2007
Event8th IEEE Signal Processing Advances in Wireless Communications, SPAWC 2007 - Helsinki, Finland
Duration: 17 Jun 200720 Jun 2007

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC


Conference8th IEEE Signal Processing Advances in Wireless Communications, SPAWC 2007


  • Array processing
  • Emitter localization
  • Maximum likelihood
  • OFDM


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