Adaptive Square-Root Unscented Particle Filtering Algorithm for Dynamic Navigation [PDF]
Sensors, 2018 This paper presents a new adaptive square-root unscented particle filtering algorithm by combining the adaptive filtering and square-root filtering into the unscented particle filter to inhibit the disturbance of kinematic model noise and the instability
Wenhui Wei +4 more
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Dynamic Indoor Localization Using Maximum Likelihood Particle Filtering [PDF]
Sensors, 2021 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 ...
Wenxu Wang, Damián Marelli, Minyue Fu
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Filtering via Simulation: Auxiliary Particle Filters [PDF]
Journal of the American Statistical Association, 1999 This article analyses the recently suggested particle approach to filtering time series. We suggest that the algorithm is not robust to outliers for two reasons: the design of the simulators and the use of the discrete support to represent the sequentially updating prior distribution. Here we tackle the first of these problems.
Neil Shephard
exaly +8 more sources
Research on a Particle Filtering Multi-Target Tracking Algorithm for Distributed Systems [PDF]
SensorsThe growth of unmanned aerial vehicle applications in the low-altitude economy demand advanced multi-target tracking systems. Unlike traditional approaches that assume independent measurements, distributed systems generate coupled measurements containing
Bing Han +3 more
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Predictive accuracy of particle filtering in dynamic models supporting outbreak projections [PDF]
BMC Infectious Diseases, 2017 Background While a new generation of computational statistics algorithms and availability of data streams raises the potential for recurrently regrounding dynamic models with incoming observations, the effectiveness of such arrangements can be highly ...
Anahita Safarishahrbijari +4 more
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The Neural Particle Filter [PDF]
, 2016 The robust estimation of dynamically changing features, such as the position of prey, is one of the hallmarks of perception. On an abstract, algorithmic level, nonlinear Bayesian filtering, i.e.
Kutschireiter, Anna +3 more
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Applying particle filtering in both aggregated and age-structured population compartmental models of pre-vaccination measles. [PDF]
PLoS ONE, 2018 Measles is a highly transmissible disease and is one of the leading causes of death among young children under 5 globally. While the use of ongoing surveillance data and-recently-dynamic models offer insight on measles dynamics, both suffer notable ...
Xiaoyan Li +2 more
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A Novel FEM Based T-S Fuzzy Particle Filtering for Bearings-Only Maneuvering Target Tracking [PDF]
Sensors, 2019 In this paper, we propose a novel fuzzy expectation maximization (FEM) based Takagi-Sugeno (T-S) fuzzy particle filtering (FEMTS-PF) algorithm for a passive sensor system.
Xiaoli Wang, Liangqun Li, Weixin Xie
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Sequential Bearings-Only-Tracking Initiation with Particle Filtering Method [PDF]
The Scientific World Journal, 2013 The tracking initiation problem is examined in the context of autonomous bearings-only-tracking (BOT) of a single appearing/disappearing target in the presence of clutter measurements.
Bin Liu, Chengpeng Hao
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3D Turning Target Tracking Method Based on Particle Filter [PDF]
Hangkong bingqi, 2022 In order to improve the tracking accuracy of turning targets, a 3D turning target tracking method based on particle filter is proposed. Aiming at the HGB maneuvering target in 3D space, this article first proposes a 3D turning motion model and ...
Feng Yaqiang, Song Long, Zhang Gongping
doaj +1 more source