Results 11 to 20 of about 1,512,106 (277)
Particle filtering with alpha-stable distributions [PDF]
, 2005 In this paper we introduce a novel sequential Monte Carlo technique, which is based on the family of symmetric alpha- stable (SAS) distributions.
Canagarajah, N. +4 more
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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
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A convolution particle filtering approach for tracking elliptical extended objects [PDF]
, 2013 This paper proposes a convolution particle filtering approach for extended object tracking. Convolution particle filters (CPFs) are likelihood free filters. They are based on convolution kernel probability density representation.
Gning, Amadou +3 more
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Underwater Geomagnetic Localization Based on Adaptive Fission Particle-Matching Technology
Journal of Marine Science and Engineering, 2023 The geomagnetic field constitutes a massive fingerprint database, and its unique structure provides potential position correction information. In recent years, particle filter technology has received more attention in the context of robot navigation ...
Huapeng Yu +5 more
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Multilevel Particle Filters [PDF]
SIAM Journal on Numerical Analysis, 2017 In this paper the filtering of partially observed diffusions, with discrete-time observations, is considered. It is assumed that only biased approximations of the diffusion can be obtained, for choice of an accuracy parameter indexed by $l$. A multilevel estimator is proposed, consisting of a telescopic sum of increment estimators associated to the ...
Ajay Jasra +3 more
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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.
Mihaylova, L +14 more
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A Genetic Optimization Resampling Based Particle Filtering Algorithm for Indoor Target Tracking
Remote Sensing, 2021 In indoor target tracking based on wireless sensor networks, the particle filtering algorithm has been widely used because of its outstanding performance in coping with highly non-linear problems.
Ning Zhou +3 more
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Feedback Particle Filter [PDF]
IEEE Transactions on Automatic Control, 2013 A new formulation of the particle filter for nonlinear filtering is presented, based on concepts from optimal control, and from the mean-field game theory. The optimal control is chosen so that the posterior distribution of a particle matches as closely as possible the posterior distribution of the true state given the observations. This is achieved by
Tao Yang 0017 +2 more
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2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004 Using a Parzen density estimator, any distribution can be approximated arbitrarily close by a sum of kernels. In particle filtering, this fact is utilized to estimate a probability density function with Dirac delta kernels; when the distribution is discretized it becomes possible to solve an otherwise intractable integral.
Lehn-Schiøler, Tue +2 more
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Particle Filtering With Invertible Particle Flow [PDF]
IEEE Transactions on Signal Processing, 2017 A key challenge when designing particle filters in high-dimensional state spaces is the construction of a proposal distribution that is close to the posterior distribution. Recent advances in particle flow filters provide a promising avenue to avoid weight degeneracy; particles drawn from the prior distribution are migrated in the state-space to the ...
Yunpeng Li 0001, Mark Coates
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