Multitarget tracking by improved particle filter based on \(H_\infty\) unscented transform
type: Item
instance of: scholarly article
title: Multitarget tracking by improved particle filter based on \(H_\infty\) unscented transform
zbMATH Open document ID: 1299.93071
DOI: 10.1155/2013/483913
author: Yazhao Wang
published in: Mathematical Problems in Engineering
publication date: 2014-11-24T00:00:00Z
review text: Summary: This paper considers the problem of multitarget tracking in cluttered environment. To reduce the dependency on the noise priori knowledge, an improved particle filtering (PF) data association approach is presented based on the \(H_\infty\) filter (HF). This approach can achieve higher robustness in the condition that the measurement noise prior is unknown. Because of the limitations of the HF in nonlinear tracking, we first present the \(H_\infty\) unscented filter (HUF) by embedding the unscented transform (UT) into the \(H_\infty\) extended filter (HEF) structure. Then the HUF is incorporated into the Rao-Blackwellized particle filter (RBPF) framework to update the particles. Simulation results are provided to demonstrate the effectiveness of the proposed algorithms in linear and nonlinear multitarget tracking.
Mathematics Subject Classification ID: 93B36
Mathematics Subject Classification ID: 93E11
zbMATH DE Number: 6372391
Wikidata QID: Q59027978
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/483913
OpenAlex ID: W2070101307
cites work: The probabilistic data association filter
cites work: Multiple maneuvering target tracking by improved particle filter based on multiscan JPDA
cites work: The Gaussian Mixture Probability Hypothesis Density Filter
cites work: Rao-Blackwellisation of sampling schemes
cites work: Marginalized particle filters for mixed linear/nonlinear state-space models
cites work: A new method for the nonlinear transformation of means and covariances in filters and estimators
cites work: H-infinity filtering for a class of nonlinear discrete-time systems based on unscented transform
cites work: Solution of the H/sub infinity / optimal linear filtering problem for discrete-time systems
cites work: A transfer function approach to the problems of discrete-time systems: H/sub infinity /-optimal linear control and filtering
cites work: Q4220548
cites work: Sequential Monte Carlo Methods in Practice
cites work: A Particle Filtering Approach for Joint Detection/Estimation of Multipath Effects on GPS Measurements
cites work: Robust extended Kalman filtering
cites work: Generic hardware architectures for sampling and resampling in particle filters
description: scientific article; zbMATH DE number 6372391