scholarly journals Convergence of particle filtering method for nonlinear estimation of vortex dynamics

2010 ◽  
Vol 4 (3) ◽  
Author(s):  
Sivaguru S Sritharan ◽  
Meng Xu
Keyword(s):  
Vortex Dynamics ◽  
Particle Filtering ◽  
Nonlinear Estimation ◽  
Filtering Method

scholarly journals Dynamic Indoor Localization Using Maximum Likelihood Particle Filtering

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1090
Author(s):  
Wenxu Wang ◽  
Damián Marelli ◽  
Minyue Fu
Keyword(s):  
Maximum Likelihood ◽  
Particle Filtering ◽  
Indoor Localization ◽  
Real Data ◽  
High Accuracy ◽  
Classical Particle ◽  
Popular Approach ◽  
Filtering Method ◽  
Essential Idea ◽  
Number Of Particles

A popular approach for solving the indoor dynamic localization problem based on WiFi measurements consists of using particle filtering. However, a drawback of this approach is that a very large number of particles are needed to achieve accurate results in real environments. The reason for this drawback is that, in this particular application, classical particle filtering wastes many unnecessary particles. To remedy this, we propose a novel particle filtering method which we call maximum likelihood particle filter (MLPF). The essential idea consists of combining the particle prediction and update steps into a single one in which all particles are efficiently used. This drastically reduces the number of particles, leading to numerically feasible algorithms with high accuracy. We provide experimental results, using real data, confirming our claim.

scholarly journals A Bayesian particle filtering method for brain source localisation

2015 ◽  
Vol 47 ◽  
pp. 192-204 ◽  
Author(s):  
Xi Chen ◽  
Simo Särkkä ◽  
Simon Godsill
Keyword(s):  
Particle Filtering ◽  
Filtering Method ◽  
Source Localisation

scholarly journals An enhanced particle filtering method for GMTI radar tracking

2016 ◽  
Vol 52 (3) ◽  
pp. 1408-1420 ◽  
Author(s):  
Miao Yu ◽  
Cunjia Liu ◽  
Baibing Li ◽  
Wen-Hua Chen
Keyword(s):  
Particle Filtering ◽  
Radar Tracking ◽  
Filtering Method

scholarly journals Inversely Estimating the Vertical Profile of the Soil CO2 Production Rate in a Deciduous Broadleaf Forest Using a Particle Filtering Method

PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0119001 ◽  
Author(s):  
Gen Sakurai ◽  
Seiichiro Yonemura ◽  
Ayaka W. Kishimoto-Mo ◽  
Shohei Murayama ◽  
Toshiyuki Ohtsuka ◽  
...  
Keyword(s):  
Production Rate ◽  
Particle Filtering ◽  
Vertical Profile ◽  
Co2 Production ◽  
Soil Co2 ◽  
Broadleaf Forest ◽  
Filtering Method ◽  
Soil Co2 Production ◽  
Deciduous Broadleaf Forest
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