Robust Poisson Multi-Bernoulli Mixture Filter With Inaccurate Process and Measurement Noise Covariances

Robust Poisson Multi-Bernoulli Mixture Filter With Inaccurate Process and Measurement Noise Covariances

This paper proposes a robust Poisson multi-Bernoulli mixture (PMBM) filter with inaccurate process and measurement noise covariances. A derivation of the robust PMBM filter is provided for jointly estimating the kinematic state, the predicted state covariance, and the measurement noise covariance. B...

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Bibliographic Details
Main Authors: Wenjuan Li, Hong Gu, Weimin Su
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Robust Poisson multi-Bernoulli mixture filter
Gaussian inverse Wishart inverse Wishart
conjugate prior
variational Bayesian
inaccurate process and measurement noise covariances
Online Access:https://ieeexplore.ieee.org/document/9037269/

Internet

https://ieeexplore.ieee.org/document/9037269/

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