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

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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

Item type Article
URI http://vuir.vu.edu.au/id/eprint/37239
Identification Number https://doi.org/10.1109/TSMC.2017.2778269
Official URL https://ieeexplore.ieee.org/document/8214971
Subjects Current > FOR Classification > 0102 Applied Mathematics
Current > FOR Classification > 0906 Electrical and Electronic Engineering
Current > Division/Research > College of Science and Engineering
Keywords Kalman filtering framework; robust Kalman filters; filtering; linear system; variational Bayesian approach; estimation accuracy; Gaussian state; PDFs
Citations in Scopus 23 - View on Scopus
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