Results 31 to 40 of about 480,134 (154)

Variational Bayesian cardinalized probability hypothesis density filter for robust underwater multi-target direction-of-arrival tracking with uncertain measurement noise

Frontiers in Physics, 2023
The direction-of-arrival (DOA) tracking of underwater targets is an important research topic in sonar signal processing. Considering that the underwater DOA tracking is a typical multi-target problem under unknown underwater environment with missing ...
Boxuan Zhang, Boxuan Zhang, Xianghao Hou, Xianghao Hou, Yixin Yang, Yixin Yang, Jianbo Zhou, Jianbo Zhou, Shengli Xu, Shengli Xu   +9 more
doaj   +1 more source

Multitarget Tracking Using Distributed Radar with Partially Overlapping Fields of Views

Leida xuebao, 2022
The Fields of Views (FoVs) of radars in a distributed network partially overlap due to detecting capability, waveform design, and antenna orientation constraints, resulting in observed discrepancies between radars and a significant obstacle to future ...
Kai DA, Ye YANG, Yongfeng ZHU, Qiang FU
doaj   +1 more source

Extended Target Tracking Algorithm Based on Random Hypersurface Model with Glint Noise

Chemical Engineering Transactions, 2017
Due to the fact that the unmatching of extended targets’ measurements noise is also assumed as Gaussian distribution and conventional algorithm cannot estimate target’s extent under the circumstance of unknown measurement noise covariance, a new multiple
Yawen Li
doaj   +1 more source

On the “spooky action at a distance” in the CPHD filter

Communications Faculty Of Science University of Ankara, 2015
Using the pair correlation function, spooky interaction between distant targets in the cardinalized probability hypothesis density (CPHD) filter is investigated. It is shown that the spooky interaction between distant targets in the CPHD filter is a direct result of its independent identically distributed cluster process (IIDCP) target model.
BOZDOĞAN ALİ, Önder, EFE, Murat
openaire   +2 more sources

Tracking of Midcourse Ballistic Target Group on Space-based Infrared Focal Plane using GM-CPHD Filter [PDF]

, 2012
Tracking of midcourse ballistic target group on space-based infrared focal plane plays a key role in the space-based early warning system. This paper proposes the Gaussian-mixture cardinalized probability hypothesis density (GM-CPHD) filter to solve this
Li, Dong, Yi, Dong-Yun
core   +1 more source

Multiple‐Model Trajectory PMBM Filter for Tracking Manoeuvring Extended Targets

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper introduces the multiple‐model extended target trajectory PMBM (MM‐ET‐TPMBM) filter, a unified Bayesian framework for tracking multiple manoeuvring targets with spatial extent. By integrating trajectory estimation with a jump Markov system and gamma Gaussian inverse‐Wishart (GGIW) implementation, the filter simultaneously handles complex ...
Ibrahim Salim, Nermeen Okasha, Wagdy Anis   +2 more
wiley   +1 more source

Spawning Models for the CPHD Filter

, 2015
In its classical form, the Cardinalized Probability Hypothesis Density (CPHD) filter does not model the appearance of new targets through spawning, yet there are applications for which spawning models more appropriately account for newborn objects when compared to spontaneous birth models.
Bryant, Daniel S., Delande, Emmanuel D., Gehly, Steven, Houssineau, Jeremie, Clark, Daniel E., Jones, Brandon A.   +5 more
openaire   +2 more sources

A CPHD approximation based on a discrete-Gamma cardinality model [PDF]

, 2019
The cardinalized probability hypothesis density (CPHD) filter has become one of the most acclaimed algorithms for multi-Target Bayesian filtering due to its ability to accurately estimate the number of objects and the object states in tracking scenarios ...
De Melo, Flavio Eler, Maskell, S, De Melo, flavio, Maskell, Simon   +3 more
core   +1 more source

Measurement‐Driven Group Target Poisson Multi‐Bernoulli Mixture Filter With Adaptive Birth

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
The study introduces an innovative PMBM framework that incorporates measurement‐driven adaptive birth intensity utilising each measurement frame to adaptively estimate the birth target state. Notably, our parameter estimation method for the gamma Gaussian inverse‐Wishart (GGIW) distribution characterises the birth target state using conditional ...
Chao Xiong, Moufa Hu, Huanzhang Lu, Fei Zhao   +3 more
wiley   +1 more source

A Robust TCPHD Filter for Multi-Sensor Multitarget Tracking Based on a Gaussian–Student’s t-Mixture Model

Remote Sensing
To realize multitarget trajectory tracking under non-Gaussian heavy-tailed noise, we propose a Gaussian–Student t-mixture distribution-based trajectory cardinality probability hypothesis density filter (GSTM-TCPHD).
Shaoming Wei, Yingbin Lin, Jun Wang, Yajun Zeng, Fangrui Qu, Xuan Zhou, Zhuotong Lu   +6 more
doaj   +1 more source