Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Mark R. Morelande"'
Kalman filter, particle filter, IMM, PDA, ITS, random sets... The number of useful object-tracking methods is exploding. But how are they related? How do they help track everything from aircraft, missiles and extra-terrestrial objects to people and l
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems
We propose a solution of the multiple target tracking (MTT) problem based on sets of trajectories and the random finite set framework. A full Bayesian approach to MTT should characterise the distribution of the trajectories given the measurements, as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b464deaf690ffdc6b8199e9b14a188fe
http://livrepository.liverpool.ac.uk/3042426/1/Set_trajectories_journal_accepted_double.pdf
http://livrepository.liverpool.ac.uk/3042426/1/Set_trajectories_journal_accepted_double.pdf
Publikováno v:
IET Radar, Sonar & Navigation. 10:449-458
In this study, the authors present a deterministic parametric sea clutter texture model for high-resolution radar backscatter at low-grazing angles in the open ocean. The clutter texture forms a component of the compound-Gaussian sea clutter model an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e1d07718a46edb185e40f576ccf2e14
https://doi.org/10.1049/iet-rsn.2015.0098
https://doi.org/10.1049/iet-rsn.2015.0098
Publikováno v:
IEEE TRANSACTIONS ON SIGNAL PROCESSING
This paper is concerned with Gaussian approximations to the posterior probability density function (PDF) in the update step of Bayesian filtering with nonlinear measurements. In this setting, sigma-point approximations to the Kalman filter (KF) recur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1d3976c596db8dceffba0719c5626ea
https://doi.org/10.1109/tsp.2015.2454485
https://doi.org/10.1109/tsp.2015.2454485
Publikováno v:
Automatica. 54:166-175
This paper focuses on the update step of Bayesian nonlinear filtering. We first derive the unscented Gaussian likelihood approximation filter (UGLAF), which provides a Gaussian approximation to the likelihood by applying the unscented transformation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef76e9ab4fc66de915a7b1962849bb72
https://doi.org/10.1016/j.automatica.2015.02.005
https://doi.org/10.1016/j.automatica.2015.02.005
Publikováno v:
IEEE Transactions on Signal Processing. 61:5477-5484
A theoretical analysis is presented of the correction step of the Kalman filter (KF) and its various approximations for the case of a nonlinear measurement equation with additive Gaussian noise. The KF is based on a Gaussian approximation to the join
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff32279e8d2c2b41344624aafd5ab118
https://doi.org/10.1109/tsp.2013.2279367
https://doi.org/10.1109/tsp.2013.2279367
Publikováno v:
Geo-spatial Information Science. 16:169-176
Inertial Navigation System (INS) and Global Navigation Satellite System (GNSS) integration requires accurate modelling of both INS deterministic and stochastic errors. The Allan Variance (AV) analysis on INS static data is one method of determining I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ca98796714a74f8230001b57a8e068b
https://doi.org/10.1080/10095020.2013.817108
https://doi.org/10.1080/10095020.2013.817108
Autor:
Mark R. Morelande, Kelvin J. Layton, Leigh A. Johnston, David W. Wright, Peter M. Farrell, Bill Moran
Publikováno v:
IEEE Transactions on Medical Imaging. 32:1423-1434
Estimation of multiple T2 components within single imaging voxels typically proceeds in one of two ways; a nonparametric grid approximation to a continuous distribution is made and a regularized nonnegative least squares algorithm is employed to perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::048d34443d0e8a0c2f38080bf646bc68
https://doi.org/10.1109/tmi.2013.2257830
https://doi.org/10.1109/tmi.2013.2257830
Publikováno v:
Information Fusion. 14:311-326
In this paper, the connections between information geometry and performance of sensor networks for target tracking are explored to pursue a better understanding of placement, planning and scheduling issues. Firstly, the integrated Fisher information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f12149f4455fb7b376d0ccf16b8398d
https://doi.org/10.1016/j.inffus.2012.02.005
https://doi.org/10.1016/j.inffus.2012.02.005
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 49:1569-1588
The detection and tracking of an unknown number of targets using a Bayesian hierarchical model with target labels is presented. To approximate the posterior probability density function (PDF), we develop a two-layer particle filter (PF). One deals wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::832cedd6193616e5613f3152201f3628
https://doi.org/10.1109/taes.2013.6558005
https://doi.org/10.1109/taes.2013.6558005