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A New Variational Bayesian-Based Kalman Filter with Unknown Time-Varying Measurement Loss Probability and

Chenghao Shan1, Weidong Zhou1, Yefeng Yang2

  • 1Department of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China.

Entropy (Basel, Switzerland)
|October 23, 2021
PubMed

Keywords:
Kalman filtermeasurement loss probabilitymixture distributionnon-stationary heavy-tailed measurement noisevariational Bayesian

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