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Likelihood Consensus and Its Application to Distributed Particle Filtering
, 2012 We consider distributed state estimation in a wireless sensor network without a fusion center. Each sensor performs a global estimation task---based on the past and current measurements of all sensors---using only local processing and local ...
Djuric, Petar M. +4 more
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, 2021 Both the particle and Kalman filters attempt to approximate the minimum mean-square error (MMSE) estimate of the time-varying parameter. In this scenario, a prior model of the time evolution of the parameter of interest is assumed before the MMSE estimation takes place.
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Optimal Intermittent Particle Filter
IEEE Transactions on Signal Processing, 2022 13 pages, 7 figures, 3 ...
Antoine Aspeel +3 more
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Bernoulli, 2013 Subject of this master thesis is the presentation of a methodology, called Particle filters, a class of Sequential Monte Carlo (SMC) methods used to sample sequentially from a sequence of high-dimensional and complex probability distributions. A cloud of particles evolves over time as new observations become available to approximate the posterior ...
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Leida xuebao, 2019 Under the clutter background condition, the existing particle filter pre-detection tracking algorithm based on Probability Hypothesis Density (PHD) filtering is not accurate enough to estimate the number of targets in dense multi-objectives.
PEI Jiazheng +4 more
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A Method for Battery Health Estimation Based on Charging Time Segment
Energies, 2021 The problem of low accuracy and low convenience in the existing state of health (SOH) estimation method for vehicle lithium-ion batteries has become one of the important problems in the electric vehicle field.
Shao-Xun Liu +4 more
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The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems
, 2015 Parametric filters, such as the Extended Kalman Filter and the Unscented Kalman Filter, typically scale well with the dimensionality of the problem, but they are known to fail if the posterior state distribution cannot be closely approximated by a ...
Bohg, Jeannette +4 more
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International Journal of Aerospace Engineering, 2021 In order to investigate the distribution characteristics of gas-particle two-phase flow in the diesel particulate filter in the capture process, a mathematical model of gas-particle two-phase flow for inside-and-outside filter had been established in the
Jianyu Li, Chunping Lu, Dongli Tan
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Stratified Particle Filter Monocular SLAM
Remote Sensing, 2021 This paper presents a solution to the problem of simultaneous localization and mapping (SLAM), developed from a particle filter, utilizing a monocular camera as its main sensor.
Pawel Slowak, Piotr Kaniewski
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Improved Rao-Blackwellized Particle Filter by Particle Swarm Optimization
Journal of Applied Mathematics, 2013 The Rao-Blackwellized particle filter (RBPF) algorithm usually has better performance than the traditional particle filter (PF) by utilizing conditional dependency relationships between parts of the state variables to estimate.
Zeng-Shun Zhao +8 more
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