Deadbeat Source Localization from Range-only Measurements: a Robust Kernel-based Approach
File(s)
Author(s)
Li, Peng
Pin, Gilberto
Fedele, Giuseppe
Parisini, T
Type
Journal Article
Abstract
This paper presents a novel framework for the problem of target localization based on the range information collected by a single mobile agent. The proposed methodology exploits the algebra of Volterra integral operators to annihilate the influence of initial conditions on the transient phase, thus achieving a deadbeat performance. The robustness properties against additive measurement perturbations are analyzed, and the bias caused by the time discretization is characterized as well. Extensive simulation results and comparisons are provided showing the effectiveness of the proposed technique in coping with both stationary and drifting targets.
Date Issued
2019-05
Date Acceptance
2017-11-01
Citation
IEEE Transactions on Control Systems Technology, 2019, 27 (3), pp.923-933
ISSN
1063-6536
Publisher
Institute of Electrical and Electronics Engineers
Start Page
923
End Page
933
Journal / Book Title
IEEE Transactions on Control Systems Technology
Volume
27
Issue
3
Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the accepted version of the following article: P. Li, G. Pin, G. Fedele and T. Parisini, "Deadbeat Source Localization From Range-Only Measurements: A Robust Kernel-Based Approach," in IEEE Transactions on Control Systems Technology, vol. 27, no. 3, pp. 923-933, May 2019, which has been published in final form at https://doi.org/10.1109/TCST.2017.2789189
Subjects
Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
Finite-time estimation
integral operators
non-asymptotic kernels
robustness analysis
source localization
NAVIGATION
0906 Electrical and Electronic Engineering
0102 Applied Mathematics
Industrial Engineering & Automation
Publication Status
Published
Date Publish Online
2018-01-23