A rao-blackwellized particle filter with variational inference for state estimation with measurement model uncertainties

HIGHLIGHTS

• who: CHENG CHENG and colleagues from the School of Astronautics, Polytechnical University, Xi'an, China have published the paper: A Rao-Blackwellized Particle Filter With Variational Inference for State Estimation With Measurement Model Uncertainties, in the Journal: (JOURNAL)
• what: The results obtained with the proposed approach, the pseudorange measurement of satellites #3, #6 and #27 are less affected by MP than the other received signals.
• how: It is clear that MP signals severely impair the positioning VOLUME 8 2020 This paper proposed a Rao-Blackwellized particle filter with variational inference for jointly estimating . . .
  

   

  

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