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Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3015422
Abstract: We consider that existing nonlinear state estimators cannot always yield a satisfactory performance when the distribution of the measurement noise deviates from the assumed Gaussian distribution. This letter investigates the non-linear robust fixed-interval smoothing problem…
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Keywords:
process noise;
covariance matrix;
noise covariance;
distribution ... See more keywords
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Published in 2019 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2018.2838440
Abstract: This note presents new results on the design of the process noise covariance matrix in Kalman filtering. The proposed design belongs to the realm of worst case methods: the optimal covariance is sought such as…
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Keywords:
kalman;
design;
process noise;
noise covariance ... See more keywords
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Published in 2019 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2019.2898302
Abstract: Only a few publications exist at present on heterogeneous track-to-track fusion (T2TF). A common limitation of the current work on heterogeneous T2TF is that the cross covariance due to common process noise cannot be computed.…
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Keywords:
track;
fusion;
common process;
process noise ... See more keywords
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Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering"
DOI: 10.1177/09544100221103328
Abstract: An improved nonlinear adaptive state estimator called Adaptive Smooth Variable Structure Filter ASVSF has been proposed and its algorithm described. ASVSF extends the functionality and performance of a previously reported robust smooth variable structure filter…
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Keywords:
performance;
variable structure;
noise covariance;
process noise ... See more keywords