Application of gaussian mixtures in a multimodal kalman filter to estimate the state of a nonlinearly moving system using sparse inaccurate measurements in a cellular radio network

HIGHLIGHTS

• who: Artjom Lind et al. from the Intelligent Transportation Systems Lab, Institute of Computer Science, University of Tartu, Narva Mnt , have published the research: Application of Gaussian Mixtures in a Multimodal Kalman Filter to Estimate the State of a Nonlinearly Moving System Using Sparse Inaccurate Measurements in a Cellular Radio Network, in the Journal: Sensors 2023, 23, 3603. of 11/01/2023
• what: The approach adopted focuses on introducing a better model for representing the mobile network coverage areas and integrating it with modified switching Kalman filter. The work showed the potential of CDR data . . .
  

   

  

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