Optimal geometries for aoa localization in the bayesian sense

HIGHLIGHTS

• who: Kutluyil Dogancay from the (UNIVERSITY) have published the research work: Optimal Geometries for AOA Localization in the Bayesian Sense, in the Journal: Sensors 2022, 22, 9802. of /2022/
• what: The authors focus on optimal target-sensor geometries for angle-of-arrival (AOA) localization in the 2D plane using a single moving sensor. To do this, the Bayesian FIM is approximated by replacing the expectation of the contribution form measurement data with its instantaneous value calculated at the mean of the Gaussian prior.
• how: For this problem optimal sensor placement results are developed . . .
  

   

  

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