Random-point-based filters: analysis and comparison in target tracking

No abstract is available for this paper.

• Publication year

  2015

• Venue

  IEEE Transactions on Aerospace and Electronic Systems

• Publication date

  2015-06-22

• Fields of study

  Mathematics, Computer Science, Engineering

• Identifiers
  DOI 10.1109/TAES.2014.130136
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A note on "book review tracking and data fusion: A handbook of algorithms" [Authors' reply]

  2013cited by this paper
• High-degree cubature Kalman filter

  2013cited by this paper
• Stochastic Integration Filter

  2013cited by this paper
• Sparse-grid quadrature nonlinear filtering

  2012cited by this paper
• A PMHT Approach for Extended Objects and Object Groups

  2012cited by this paper
• Unscented Kalman Filter: Aspects and Adaptive Setting of Scaling Parameter

  2012cited by this paper
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  2012cited by this paper
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  2012cited by this paper
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  2012cited by this paper
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  2012cited by this paper
• Online Estimation of the Approximate Posterior Cramer-Rao Lower Bound for Discrete-Time Nonlinear Filtering

  2011cited by this paper
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  2011cited by this paper
• Adaptive Gaussian Sum Filter for Nonlinear Bayesian Estimation

  2011cited by this paper
• Recursive LMMSE filtering for target tracking with range and direction cosine measurements

  2010cited by this paper
• Cubature-based Kalman filters for positioning

  2010cited by this paper
• Cubature Kalman Filters

  2009influential reference
• The ensemble Kalman filter for combined state and parameter estimation: MONTE CARLO TECHNIQUES FOR DATA ASSIMILATION IN LARGE SYSTEMS

  2009cited by this paper
• Derivative-free estimation methods: New results and performance analysis

  2009cited by this paper
• Smoothed state estimation for nonlinear Markovian switching systems

  2008cited by this paper
• Shifted Rayleigh filter: a new algorithm for bearings-only tracking

  2007cited by this paper
• Discrete-Time Nonlinear Filtering Algorithms Using Gauss–Hermite Quadrature

  2007cited by this paper
• Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches

  2006cited by this paper
• Kalman Filtering with Nonlinear State Constraints

  2006cited by this paper
• Nonlinear tracking evaluation using absolute and relative metrics

  2006cited by this paper
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  2006cited by this paper
• Data Assimilation: The Ensemble Kalman Filter

  2006cited by this paper
• Performance evaluation of UKF-based nonlinear filtering

  2006cited by this paper
• Unscented filtering and nonlinear estimation

  2004influential reference
• Best linear unbiased filtering with nonlinear measurements for target tracking

  2004cited by this paper
• Beyond the Kalman Filter: Particle Filters for Tracking Applications

  2004influential reference
• Anticipative grid design in point-mass approach to nonlinear state estimation

  2002cited by this paper
• Comment on "A new method for the nonlinear transformation of means and covariances in filters and estimators" - Reply

  2002cited by this paper
• Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software

  2001cited by this paper
• New developments in state estimation for nonlinear systems

  2000influential reference
• A new method for the nonlinear transformation of means and covariances in filters and estimators

  2000influential reference
• Monte Carlo Kalman filter and smoothing for multivariate discrete state space models

  2000cited by this paper
• Methods for Generating Random Orthogonal Matrices

  2000cited by this paper
• Gaussian filters for nonlinear filtering problems

  2000influential reference
• Stochastic stability of the discrete-time extended Kalman filter

  1999cited by this paper
• Recursive expectation-maximization (EM) algorithms for time-varying parameters with applications to multiple target tracking

  1999cited by this paper
• A stochastic algorithm for high-dimensional integrals over unbounded regions with Gaussian weight

  1999cited by this paper
• Stochastic Integration Rules for Infinite Regions

  1998influential reference
• A finite-difference method for linearization in nonlinear estimation algorithms

  1997cited by this paper
• Handbook of Integration.

  1992cited by this paper
• THE APPROXIMATION OF MULTIPLE INTEGRALS BY USING INTERPOLATORY CUBATURE FORMULAE

  1980cited by this paper
• On the development of practical nonlinear filters

  1974cited by this paper
• Approximate calculation of multiple integrals

  1973cited by this paper

• Credible Uncertainty Quantification under Noise and System Model Mismatch

  2025cites this paper
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  2025cites this paper
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  2024cites this paper
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  2024cites this paper
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  2024influential citation
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  2024cites this paper
• Human-machine cooperative AI decision-making with heterogeneous data

  2023cites this paper
• Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman Filter

  2023cites this paper
• Probabilistic prediction methods for nonlinear systems with application to stochastic model predictive control

  2023cites this paper
• Optimal Geometry and Motion Coordination for Multisensor Target Tracking with Bearings-Only Measurements

  2023cites this paper
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  2022cites this paper
• Nonlinear State Estimation Using Adaptive Gaussian Filters with One-Step Randomly Delayed Measurements

  2021cites this paper
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  2021cites this paper
• Space Object Tracking Uncertainty Analysis with the URREF Ontology

  2021cites this paper
• Conditional Density Driven Grid Design in Point-Mass Filter

  2020cites this paper
• State Estimation Methods in Navigation: Overview and Application

  2020cites this paper
• Density Difference Grid Design in a Point-Mass Filter

  2020cites this paper
• Multi-modal Video Fusion for Context-aided Tracking

  2020cites this paper
• Target Tracking Analysis for Stone Soup

  2020cites this paper
• Self-proficiency assessment for ATR systems

  2020cites this paper
• Image fusion for context-aided automatic target recognition

  2020cites this paper
• Machine learning in/with information fusion for infrastructure understanding, panel summary

  2020cites this paper
• Hybrid blockchain-enabled secure microservices fabric for decentralized multi-domain avionics systems

  2020cites this paper
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  2019cites this paper
• Design of Rao–Blackwellized Point-Mass Filter With Application in Terrain Aided Navigation

  2019cites this paper
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  2019cites this paper
• Multisource deep learning for situation awareness

  2019cites this paper
• Dynamic data driven analytics for multi-domain environments

  2019cites this paper
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  2019cites this paper
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  2019cites this paper
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  2019cites this paper
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  2019cites this paper
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  2019cites this paper
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  2019cites this paper
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  2019cites this paper
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  2019cites this paper
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  2019cites this paper
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  2019cites this paper
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  2019cites this paper
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  2018cites this paper
• Uncertainty Considerations for Ontological Decision-Making Support in Avionics Analytics

  2018cites this paper
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  2018influential citation
• DYNAMIC DATA DRIVEN APPLICATION SYSTEMS: RESEARCH CHALLENGES AND OPPORTUNITIES

  2018cites this paper
• DDDAS ADVANTAGES FROM HIGH-DIMENSIONAL SIMULATION

  2018cites this paper
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  2018cites this paper
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  2018cites this paper
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  2018cites this paper
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  2018cites this paper
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  2018cites this paper
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  2018cites this paper
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  2018cites this paper
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  2018cites this paper
• Introduction to Dynamic Data Driven Applications Systems

  2018cites this paper
• Handbook of Dynamic Data Driven Applications Systems

  2018cites this paper
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  2018cites this paper
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  2018cites this paper
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  2018cites this paper
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  2017cites this paper
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  2017cites this paper
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  2017cites this paper
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  2017cites this paper
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