Adaptive unscented Gaussian likelihood approximation filter

QR Code

Adaptive unscented Gaussian likelihood approximation filter

This paper focuses on the update step of Bayesian nonlinear filtering. We first derive the unscented Gaussian likelihood approximation filter (UGLAF), which provides a Gaussian approximation to the likelihood by applying the unscented transformation to the inverse of the measurement function. The UG...

Full description

Bibliographic Details
Main Authors:	Garcia Fernandez, Angel, Morelande, M., Grajal, J., Svensson, L.
Format:	Journal Article
Published:	Pergamon Press 2015
Online Access:	http://hdl.handle.net/20.500.11937/54227

Similar Items

Truncated unscented kalman filtering
by: Garcia Fernandez, Angel, et al.
Published: (2012)

Mixture truncated unscented Kalman filtering
by: Garcia Fernandez, Angel, et al.
Published: (2012)

Nonlinear filtering update phase via the single point truncated unscented Kalman filter
by: Garcia Fernandez, Angel, et al.
Published: (2011)

Gaussian MAP Filtering Using Kalman Optimization
by: García-Fernández, Angel, et al.
Published: (2015)

Analysis of Kalman filter approximations for nonlinear measurements
by: Morelande, M., et al.
Published: (2013)

Two-layer particle filter for multiple target detection and tracking
by: Garcia Fernandez, Angel, et al.
Published: (2013)

Gaussian mixture importance sampling function for unscented SMC-PHD filter
by: Yoon, J., et al.
Published: (2013)

Particle filter for extracting target label information when targets move in close proximity
by: Garcia Fernandez, Angel, et al.
Published: (2011)

Posterior Linearization Filter: Principles and Implementation Using Sigma Points
by: Garcia-Fernandez, Angel, et al.
Published: (2015)

Sequential multiple target detection using particle filters
by: Garcia Fernandez, Angel, et al.
Published: (2011)

Explicit filtering equations for labelled random finite sets
by: Garcia Fernandez, Angel, et al.
Published: (2015)

Multitarget simultaneous localization and mapping of a sensor network
by: Garcia Fernandez, Angel, et al.
Published: (2011)

Bayesian Sequential Track Formation
by: Garcia Fernandez, Angel, et al.
Published: (2014)

Iterated statistical linear regression for Bayesian updates
by: Garcia Fernandez, Angel, et al.
Published: (2014)

Filtering meteoroid flights using multiple unscented Kalman filters
by: Sansom, E., et al.
Published: (2016)

Generalizations of the auxiliary particle filter for multiple target tracking
by: Úbeda-Medina, L., et al.
Published: (2014)

Mixed Unscented Kalman Filter and differential evolution for parameter identification
by: Legowo, Ari, et al.
Published: (2013)

System identification for an autonomous quadrotor using extended and unscented kalman filters
by: Abas, Norafizah, et al.
Published: (2011)

Unscented kalman filtering for spacecraft attitude and rate determination using magnetometer.
by: Abdelrahman, Mohammad, et al.
Published: (2009)

Nonlinear Bayesian Filtering Using the Unscented Linear Fractional Transformation Model
by: Pasha, S., et al.
Published: (2010)

An algebraic solution of maximum likelihood function in case of Gaussian mixture distribution
by: Awange, Joseph, et al.
Published: (2016)

Soft-In Soft-Out Detection Using Partial Gaussian Approximation
by: Guo, Q., et al.
Published: (2014)

MCMC-based posterior independence approximation for RFS multitarget particle filters
by: García-Fernández, A., et al.
Published: (2014)

Design And Development Of Adaptive Spatial Filters For Reduction Of Gaussian And Impulse Noise In Images
by: Kam, Yvonne Hwei Syn
Published: (2008)

Extended and Unscented Kalman Filters for Artificial Neural Network Modelling of a Nonlinear Dynamical System
by: Saptoro, Agus
Published: (2012)

An Adaptive Multi-Sensor Generalised Labelled Multi-Bernoulli Filter for Linear Gaussian Models
by: Nguyen, Tran Thien Dat, et al.
Published: (2022)

Back-scattering of a helicopter with a millimeter-wave LFMCW Radar
by: Garcia Fernandez, Angel, et al.
Published: (2013)

A soft-in soft-out detection approach using partial Gaussian approximation
by: Guo, Q., et al.
Published: (2012)

Long-Range Road Geometry Estimation Using Moving Vehicles and Roadside Observations
by: Hammarstrand, L., et al.
Published: (2016)

Road geometry estimation using a precise clothoid road model and observations of moving vehicles
by: Fatemi, M., et al.
Published: (2014)

Bayesian Road Estimation Using Onboard Sensors
by: Garcia Fernandez, Angel, et al.
Published: (2014)

Kullback–Leibler divergence approach to partitioned update Kalman filter
by: Raitoharju, M., et al.
Published: (2017)

Derivation of the PHD filter based on direct Kullback-Leibler divergence minimisation
by: García-Fernández, Ángel, et al.
Published: (2015)

Integrated WiFi/PDR/Smartphone using an unscented Kalman filter algorithm for 3D indoor localization
by: Chen, Guoliang, et al.
Published: (2015)

Derivation of the PHD and CPHD Filters Based on Direct Kullback-Leibler Divergence Minimization
by: Garcia-Fernandez, Angel, et al.
Published: (2015)

Approximation of the sum of independent lognormal variates using lognormal distribution by maximum likelihood estimation approached
by: Abdul Rahman Othman,, et al.
Published: (2023)

Using tactile-exploration with the unscented kalman filter for high precision on-line shape and pose estimation of a 3D workpiece
by: Monteath, I., et al.
Published: (2015)

Enhanced unscented transform method for probabilistic load flow studies
by: Oke, Oluwabukola A.
Published: (2013)

An approximate CPHD filter for superpositional sensors
by: Mahler, Ronald, et al.
Published: (2012)

Bayesian Multi-Object Filtering With Amplitude Feature Likelihood for Unknown Object SNR
by: Clark, D., et al.
Published: (2010)

Cannot write session to /tmp/vufind_sessions/sess_8lpk02h12q6bi29l44jg48mdp3