In this paper, the problem of multi-sensor centralized state fusion with heavy-tailed process and measurement noises is considered. In order to improve the ...
An identify-fusion architecture is developed for multi-sensor state fusion with heavy-tailed process and measurement noises. A robust hierarchical Gaussian ...
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Existing algorithms for fusion estimation of nonlinear systems with Gaussian noises are no longer applicable for systems with heavy-tailed noises. In this paper ...
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Aug 29, 2022 · The fusion estimation for nonlinear multisensor systems with intermittent observations and heavy-tailed measurement and process noises is studied.
A sensor fusion problem for location data using statistical decision theory (SDT) is studied. The contribution of this study is the application of SDT to ...
In this paper, a centralized multi-sensor fusion for the network with non-Gaussian measurement noises is considered and the heavy-tailed Student-t ...
In practise, channel noises are often heavy-tailed non-Gaussian, hence alternative methods should be used to make the fusion estimation robust to outliers. M- ...
Our proposed GSTM-TCPHD filter utilizes the GSTM distribution to model heavy-tailed noise, reducing modeling errors and generating a set of potential target ...
Aug 29, 2022 · In [2], for a class of heavy-tailed noise linear systems, a robust Kalman filter is presented using Gaussian mixture distributions. The ...
Aug 23, 2024 · To improve estimation accuracy, this paper introduces a new robust Kalman filter based on moving window estimation to handle heavy-tailed noise.