5 citations · 11 across the 9 of their papers we have counts for
12 papers · 1 filter
Identification of Clock Ensemble Noise Parameters Using Differential Measurement Analysis
Jindrich Dunik, Ladislav Kral, Ivo Puncochar +4
The paper addresses the critical problem of identifying unknown parameters of an atomic clock ensemble. The ensemble model is considered as a set of individual clock models, where…
Tensor Decompositions for Online Grid-Based Terrain-Aided Navigation
J. Matoušek, J. Krejčí, J. Duník +1
This paper presents a practical and scalable grid-based state estimation method for high-dimensional models with invertible linear dynamics and with highly non-linear measurements,…
Lagrangian Grid-based Estimation of Nonlinear Systems with Invertible Dynamics
Jindřich Duník, Jan Krejčí, Jakub Matoušek +2
This paper deals with the state estimation of non-linear and non-Gaussian systems with an emphasis on the numerical solution to the Bayesian recursive relations. In particular, thi…
Stone Soup: ADS-B-based Multi-Target Tracking with Stochastic Integration Filter
John Hiles, Jakub Matousek, Erik Blasch +3
This paper focuses on the multi-target tracking using the Stone Soup framework. In particular, we aim at evaluation of two multi-target tracking scenarios based on the simulated cl…
Unobservable Systems: No Problem for Noise Identification
Oliver Kost, Jindrich Dunik, Ivo Puncochar +1
This paper deals with the noise identification of a linear time-varying stochastic dynamic system described by the state-space model. In particular, the stress is laid on the desig…
Tensor Train Discrete Grid-Based Filters: Breaking the Curse of Dimensionality
J. Matoušek, M. Brandner, J. Duník +1
This paper deals with the state estimation of stochastic systems and examines the possible employment of tensor decompositions in grid-based filtering routines, in particular, the…