Extended Target Marginal Distribution Poisson Multi-Bernoulli Mixture Filter [PDF]
Sensors, 2020 The existence of clutter, unknown measurement sources, unknown number of targets, and undetected probability are problems for multi-extended target tracking, to address these problems; this paper proposes a gamma-Gaussian-inverse Wishart (GGIW ...
Haocui Du, Weixin Xie
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Robust Model-Dependent Poisson Multi Bernoulli Mixture Trackers for Multistatic Sonar Networks [PDF]
IEEE Access, 2021 This work proposes a robust tracker based on the Poisson Multi Bernoulli Mixture (PMBM) filter for multistatic sonar networks (MSNs) systems. The PMBM based trackers estimate the number of targets and provide the target information via Bernoulli and ...
Erhan Ozer, Ali Koksal Hocaoglu
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Multiple model trajectory poisson multi-bernoulli mixtures filter for tracking multiple maneuvering objects [PDF]
Scientific ReportsMulti-object tracking (MOT) in cluttered and dynamic environments remains challenging, especially for maneuvering objects. While trajectory-based random finite set (RFS) filters provide principled solutions for trajectory estimation, they typically rely ...
Ibrahim Salim +3 more
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A Poisson Multi-Bernoulli Mixture Filter for Coexisting Point and Extended Targets [PDF]
IEEE Transactions on Signal Processing, 2021 This paper proposes a Poisson multi-Bernoulli mixture (PMBM) filter for coexisting point and extended targets, i.e., for scenarios where there may be simultaneous point and extended targets. The PMBM filter provides a recursion to compute the multi-target filtering posterior based on probabilistic information on data associations, and single-target ...
Angel F García-Fernández +2 more
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Poisson multi‐Bernoulli mixture filters with coloured measurement noise
IET Radar, Sonar & Navigation, 2022 To solve multitarget tracking (MTT) problems with coloured measurement noise, this study proposes a Poisson multi‐Bernoulli mixture filter with coloured measurement noise (PMBM‐CMN) and a robust PMBM‐CMN filter.
Wenjuan Li +4 more
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Novel Multi-Target Tracking Method: PMBM Filter Combined SVD-SCKF with GP-Driven Measurements [PDF]
SensorsOwing to multi-target tracking in scenarios with nonlinearity, uncertain measurement model and high clutter density, the Poisson multi-Bernoulli mixture (PMBM) recursion is prone to unstable covariance propagation under nonlinear dynamics as well as ...
Wentao Jia +3 more
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Robust PMBM Filter with Unknown Detection Probability Based on Feature Estimation [PDF]
Sensors, 2022 This paper provides a solution for multi-target tracking with unknown detection probability. For the standard Poisson Multi-Bernoulli Mixture (PMBM) filter, the detection probability is generally considered a priori.
Yi Wang, Peng Rao, Xin Chen
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Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation [PDF]
IEEE Transactions on Aerospace and Electronic Systems, 2018 We provide a derivation of the Poisson multi-Bernoulli mixture (PMBM) filter for multi-target tracking with the standard point target measurements without using probability generating functionals or functional derivatives. We also establish the connection with the δ-generalised labelled multi-Bernoulli (δ-GLMB) filter, showing that a δ-GLMB density ...
Angel F García-Fernández +2 more
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Robust Poisson Multi-Bernoulli Mixture Filter With Inaccurate Process and Measurement Noise Covariances [PDF]
IEEE Access, 2020 This paper proposes a robust Poisson multi-Bernoulli mixture (PMBM) filter with inaccurate process and measurement noise covariances. A derivation of the robust PMBM filter is provided for jointly estimating the kinematic state, the predicted state ...
Wenjuan Li, Hong Gu, Weimin Su
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Sensor Management for Search and Track Using the Poisson Multi-Bernoulli Mixture Filter
IEEE Transactions on Aerospace and Electronic Systems, 2021 A sensor management method for joint multitarget search and track problems is proposed, where a single user-defined parameter allows for a tradeoff between the two objectives. The multitarget density is propagated using the Poisson multi-Bernoulli mixture filter, which eliminates the need for a separate handling of undiscovered targets and provides the
Per Boström-Rost +2 more
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