Deadbeat Source Localization From Range-Only Measurements: A Robust Kernel-Based Approach
| Main Author: | Li, Peng; Pin, Gilberto; Fedele, Giuseppe; Parisini, Thomas |
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| Format: | Article Journal |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1322148 |
Daftar Isi:
- 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.
- © 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. 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. doi: 10.1109/TCST.2017.2789189