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Robust Kalman Filters Based on Gaussian Scale Mixture Distributions With Application to Target Tracking

Huang, Y, Zhang, Y, Shi, Peng ORCID: 0000-0001-8218-586X, Wu, Z, Qian, J and Chambers, JA (2017) Robust Kalman Filters Based on Gaussian Scale Mixture Distributions With Application to Target Tracking. IEEE Transactions on Systems, Man, and Cybernetics: Systems. ISSN 2168-2216

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Item Type: Article
Uncontrolled Keywords: Kalman filtering framework; robust Kalman filters; filtering; linear system; variational Bayesian approach; estimation accuracy; Gaussian state; PDFs
Subjects: FOR Classification > 0102 Applied Mathematics
FOR Classification > 0906 Electrical and Electronic Engineering
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 09 Oct 2018 05:38
Last Modified: 17 Sep 2019 00:28
URI: http://vuir.vu.edu.au/id/eprint/37239
DOI: https://doi.org/10.1109/TSMC.2017.2778269
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Citations in Scopus: 6 - View on Scopus

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