One-Bit Direct Position Determination of Narrowband Gaussian Signals

Amir Weiss, Gregory W. Wornell

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


One of the main drawbacks of the well-known Direct Position Determination (DPD) method is the requirement that raw data be transferred to a common processor. It would therefore be of high practical value if DPD - or a modified version thereof - could be successfully applied to a coarsely quantized version of the raw data, thus alleviating the communication requirements between the different base stations. Motivated by the above, and inspired by recent work in the rejuvenated one-bit array processing field, we present One-Bit DPD: a direct localization method based on one-bit quantized measurements. We show that despite the coarse quantization, the proposed method nonetheless yields a position estimate with appealing asymptotic properties. We further establish the identifiability conditions of this model, which rely only on second-order statistics. Simulation results corroborate our analytical derivations, demonstrating that much of the information regarding the emitter position is preserved under this crude form of quantization.

Original languageEnglish
Title of host publication2021 IEEE Statistical Signal Processing Workshop, SSP 2021
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781728157672
StatePublished - 11 Jul 2021
Externally publishedYes
Event21st IEEE Statistical Signal Processing Workshop, SSP 2021 - Virtual, Rio de Janeiro, Brazil
Duration: 11 Jul 202114 Jul 2021

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings


Conference21st IEEE Statistical Signal Processing Workshop, SSP 2021
CityVirtual, Rio de Janeiro


  • Array processing
  • beamforming
  • direct position determination
  • emitter localization
  • one-bit quantization


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