Results 201 to 210 of about 4,346 (236)

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.
Angel F García-Fernández, Jason L Williams, Lennart Svensson   +2 more
exaly   +2 more sources

Information Exchange Track-Before-Detect Multi-Bernoulli Filter for Superpositional Sensors [PDF]

IEEE Transactions on Signal Processing
In this paper we derive the Information Exchange track-before-detect Multi-Bernoulli (IEMB) filter for multi-target filtering with superpositional sensors.
Elinor S Davies, Angel F García-Fernández   +1 more
exaly   +2 more sources

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Bernoulli Low-Pass Filters

IEEE Transactions on Circuits and Systems II: Express Briefs, 2014
Selective filters are obtained by the approximation of the rectangular magnitude. Classic approximation methods employ polynomials or rational functions. Modern methods are based on numerical optimization. The optimization-based approach is effective and gives the designer much freedom.
Goran Molnar, Mladen Vucic
openaire   +2 more sources

Robust Multi-Bernoulli Filtering

IEEE Journal of Selected Topics in Signal Processing, 2013
In Bayesian multi-target filtering knowledge of parameters such as clutter intensity and detection probability profile are of critical importance. Significant mismatches in clutter and detection model parameters results in biased estimates. In this paper we propose a multi-target filtering solution that can accommodate non-linear target models and an ...
Ba-Tuong Vo, Ba-Ngu Vo, Reza Hoseinnezhad, Ronald P. S. Mahler   +3 more
openaire   +2 more sources

Event-Triggered Consensus Bernoulli Filtering

2018 21st International Conference on Information Fusion (FUSION), 2018
This paper focuses on reducing communication bandwidth and, consequently, energy consumption in the context of distributed target detection and tracking over a peer-to-peer sensor network. A consensus Bernoulli filter with event-triggered communication is developed by enforcing each node to transmit its local information to the neighbors only when a ...
Lin Gao, Giorgio Battistelli, Luigi Chisci, Ping Wei   +3 more
openaire   +2 more sources

The Labeled Multi-Bernoulli SLAM Filter

IEEE Signal Processing Letters, 2015
In this contribution, a new algorithm addressing the simultaneous localization and mapping (SLAM) problem is proposed: a Rao-Blackwellized implementation of the Labeled Multi-Bernoulli SLAM (LMB-SLAM) filter. Further, we establish that the LMB-SLAM does not require the approximations used in Probability Hypothesis Density SLAM (PHD-SLAM).
Hendrik Deusch, Stephan Reuter, Klaus Dietmayer   +2 more
openaire   +1 more source

The Spline Multi-Target Multi-Bernoulli Filter

2020 IEEE 23rd International Conference on Information Fusion (FUSION), 2020
A B-Spline implementation of the multi-target multi-Bernoulli (MeMBer) filter for nonlinear Gaussian/non-Gaussian models is proposed. Specifically, the spatial PDF (SPDF) of each Bernoulli component in the MeMBer density is represented by a B-Spline curve, which is characterized by the spline knots and control points.
Yiqi Chen, Ping Wei 0002, Gaiyou Li, Lin Gao 0003, Yuansheng Li   +4 more
openaire   +1 more source

On the Labeled Multi-Bernoulli Filter with Merged Measurements

ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020
In this work, we propose a Labeled Multi-Bernoulli (LMB) filter for multi-object tracking with a merged measurement model. The finite resolution capabilities of practical sensing systems can lead to scenarios where multiple objects interact and generate merged measurements.
Augustin-Alexandru Saucan, Moe Z. Win
openaire   +1 more source

OTHR multipath tracking using the bernoulli filter

IEEE Transactions on Aerospace and Electronic Systems, 2014
A multipath target tracking and recognition algorithm is proposed for an over-the-horizon radar (OTHR) tracking system in the presence of detection uncertainty and clutter. This algorithm, multipath Bernoulli filter (MPBF), uses a generalization of the Bernoulli filter for joint detection and tracking of a single target.
Jinfeng Chen, Hong Ma, Cheng-Guo Liang, Yufeng Zhang   +3 more
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Multipath Generalized Labeled Multi-Bernoulli Filter

2018 21st International Conference on Information Fusion (FUSION), 2018
Traditional multitarget tracking algorithms assume that each target can generate at most one detection per scan. However, in the over-the-horizon radar (OTHR), a target may produce multiple detections because of multipath propagation. In this paper, we propose a new algorithm, called multipath generalized labeled multi-Bernoulli (MP-GLMB) filter, to ...
Bin Yang, Jun Wang 0041, Wenguang Wang, Shaoming Wei   +3 more
openaire   +1 more source