Results 21 to 30 of about 1,703,706 (235)
Challenges with bearings only tracking for missile guidance systems and how to cope with them. [PDF]
, 2010 This paper addresses the problem of closed loop missile guidance using bearings and target angular extent information. Comparison is performed between particle filtering methods and derivative free methods.
Mihaylova, Lyudmila +2 more
core +4 more sources
Tempered Particle Filtering [PDF]
Finance and Economics Discussion Series, 2016 The accuracy of particle filters for nonlinear state-space models crucially depends on the proposal distribution that mutates time t-1 particle values into time t values. In the widely-used bootstrap particle filter this distribution is generated by the state-transition equation.
Edward Herbst, Frank Schorfheide
openaire +3 more sources
Nudging the particle filter [PDF]
Statistics and Computing, 2019 AbstractWe investigate a new sampling scheme aimed at improving the performance of particle filters whenever (a) there is a significant mismatch between the assumed model dynamics and the actual system, or (b) the posterior probability tends to concentrate in relatively small regions of the state space.
Ömer Deniz Akyildiz, Joaquín Míguez
openaire +6 more sources
Exact approximation of Rao-Blackwellised particle filters [PDF]
, 2012 Particle methods are a category of Monte Carlo algorithms that have become popular for performing inference in non-linear non-Gaussian state-space models.
Dancer, R. +7 more
core +1 more source
Numerical simulation of DPF filter for selected regimes with deposited soot particles
EPJ Web of Conferences, 2012 For the purpose of accumulation of particulate matter from Diesel engine exhaust gas, particle filters are used (referred to as DPF or FAP filters in the automotive industry). However, the cost of these filters is quite high.
Kovařík Petr, Lávička David
doaj +1 more source
Remote Sensing, 2021 Agricultural water use represents more than 70% of the world’s freshwater through irrigation water inputs that are poorly known at the field scale. Irrigation monitoring is thus an important issue for optimizing water use in particular with regards to ...
Nadia Ouaadi +5 more
doaj +1 more source
Weighted-interacting particle-based nonlinear filters. [PDF]
, 2002 Particle-based nonlinear filters have proven to be effective and versatile methods for computing approximations to difficult filtering problems.
Ballantyne, David +2 more
core +1 more source
Mobility Tracking in Cellular Networks Using Particle Filtering. [PDF]
, 2007 Mobility tracking based on data from wireless cellular networks is a key challenge that has been recently investigated both from a theoretical and practical point of view.
Canagarajah, N +5 more
core +5 more sources
Weighted ensemble transform Kalman filter for image assimilation [PDF]
Tellus: Series A, Dynamic Meteorology and Oceanography, 2013 This study proposes an extension of the Weighted Ensemble Kalman filter (WEnKF) proposed by Papadakis et al. (2010) for the assimilation of image observations.
Sebastien Beyou +3 more
doaj +1 more source