Deadbeat source localization from range-only measurements: A robust kernel-based approach

Peng Li; Gilberto Pin; Thomas Parisini; Giuseppe Fedele

doi:10.1109/ACC.2016.7525331

Deadbeat source localization from range-only measurements: A robust kernel-based approach

Peng Li
, Gilberto Pin
, Thomas Parisini
, Giuseppe Fedele

Imperial College London
Eclectrolux Professional S.p.A
University of Trieste
University of Calabria

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

In this paper, a novel non-asymptotic method for target localization based on the algebra of Volterra linear integral operators is presented aiming at estimating the coordinate of a stationary source by a single mobile agent. The algorithm assumes that the agent is only allowed to obtain the measurement of distance from the source. By properly designing the kernel of the Volterra operators, the influence of initial conditions on the transient phase can be eliminated in order to achieve - ideally - a deadbeat mode of behavior. The stability analysis shows that the algorithm is robust to bounded additive measurement perturbations. Moreover, the bias on the estimate due to time-discretization is characterized. Simulation results show that the proposed algorithm is characterized by fast convergence and good noise immunity.

Original language	English
Title of host publication	2016 American Control Conference, ACC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2729-2734
Number of pages	6
ISBN (Electronic)	9781467386821
DOIs	https://doi.org/10.1109/ACC.2016.7525331
State	Published - 28 Jul 2016
Externally published	Yes
Event	2016 American Control Conference, ACC 2016 - Boston, United States Duration: 6 Jul 2016 → 8 Jul 2016

Publication series

Name	Proceedings of the American Control Conference
Volume	2016-July
ISSN (Print)	0743-1619

Conference

Conference	2016 American Control Conference, ACC 2016
Country/Territory	United States
City	Boston
Period	6/07/16 → 8/07/16

Access to Document

10.1109/ACC.2016.7525331

Cite this

Li, P., Pin, G., Parisini, T., & Fedele, G. (2016). Deadbeat source localization from range-only measurements: A robust kernel-based approach. In 2016 American Control Conference, ACC 2016 (pp. 2729-2734). Article 7525331 (Proceedings of the American Control Conference; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2016.7525331

@inproceedings{8049ae72167f4cb7a1eae9d95e449b60,

title = "Deadbeat source localization from range-only measurements: A robust kernel-based approach",

abstract = "In this paper, a novel non-asymptotic method for target localization based on the algebra of Volterra linear integral operators is presented aiming at estimating the coordinate of a stationary source by a single mobile agent. The algorithm assumes that the agent is only allowed to obtain the measurement of distance from the source. By properly designing the kernel of the Volterra operators, the influence of initial conditions on the transient phase can be eliminated in order to achieve - ideally - a deadbeat mode of behavior. The stability analysis shows that the algorithm is robust to bounded additive measurement perturbations. Moreover, the bias on the estimate due to time-discretization is characterized. Simulation results show that the proposed algorithm is characterized by fast convergence and good noise immunity.",

author = "Peng Li and Gilberto Pin and Thomas Parisini and Giuseppe Fedele",

note = "Publisher Copyright: {\textcopyright} 2016 American Automatic Control Council (AACC).; 2016 American Control Conference, ACC 2016 ; Conference date: 06-07-2016 Through 08-07-2016",

year = "2016",

month = jul,

day = "28",

doi = "10.1109/ACC.2016.7525331",

language = "英语",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2729--2734",

booktitle = "2016 American Control Conference, ACC 2016",

address = "美国",

}

Li, P, Pin, G, Parisini, T & Fedele, G 2016, Deadbeat source localization from range-only measurements: A robust kernel-based approach. in 2016 American Control Conference, ACC 2016., 7525331, Proceedings of the American Control Conference, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., pp. 2729-2734, 2016 American Control Conference, ACC 2016, Boston, United States, 6/07/16. https://doi.org/10.1109/ACC.2016.7525331

Deadbeat source localization from range-only measurements: A robust kernel-based approach. / Li, Peng; Pin, Gilberto; Parisini, Thomas et al.
2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 2729-2734 7525331 (Proceedings of the American Control Conference; Vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Deadbeat source localization from range-only measurements

T2 - 2016 American Control Conference, ACC 2016

AU - Li, Peng

AU - Pin, Gilberto

AU - Parisini, Thomas

AU - Fedele, Giuseppe

PY - 2016/7/28

Y1 - 2016/7/28

N2 - In this paper, a novel non-asymptotic method for target localization based on the algebra of Volterra linear integral operators is presented aiming at estimating the coordinate of a stationary source by a single mobile agent. The algorithm assumes that the agent is only allowed to obtain the measurement of distance from the source. By properly designing the kernel of the Volterra operators, the influence of initial conditions on the transient phase can be eliminated in order to achieve - ideally - a deadbeat mode of behavior. The stability analysis shows that the algorithm is robust to bounded additive measurement perturbations. Moreover, the bias on the estimate due to time-discretization is characterized. Simulation results show that the proposed algorithm is characterized by fast convergence and good noise immunity.

AB - In this paper, a novel non-asymptotic method for target localization based on the algebra of Volterra linear integral operators is presented aiming at estimating the coordinate of a stationary source by a single mobile agent. The algorithm assumes that the agent is only allowed to obtain the measurement of distance from the source. By properly designing the kernel of the Volterra operators, the influence of initial conditions on the transient phase can be eliminated in order to achieve - ideally - a deadbeat mode of behavior. The stability analysis shows that the algorithm is robust to bounded additive measurement perturbations. Moreover, the bias on the estimate due to time-discretization is characterized. Simulation results show that the proposed algorithm is characterized by fast convergence and good noise immunity.

UR - https://www.scopus.com/pages/publications/84992066394

U2 - 10.1109/ACC.2016.7525331

DO - 10.1109/ACC.2016.7525331

M3 - 会议稿件

AN - SCOPUS:84992066394

T3 - Proceedings of the American Control Conference

SP - 2729

EP - 2734

BT - 2016 American Control Conference, ACC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 6 July 2016 through 8 July 2016

ER -

Deadbeat source localization from range-only measurements: A robust kernel-based approach

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this