A Robust Passive Target Localization for Substation Inspection of UAV in a GPS-denied Environment

Ui Suk Suh; Tae Wan Kim; Dong Hwa Kang; Kang Min Lee; Won Sang Ra; Taewook Kim

doi:10.1109/ICIT46573.2021.9453470

A Robust Passive Target Localization for Substation Inspection of UAV in a GPS-denied Environment

Ui Suk Suh, Tae Wan Kim, Dong Hwa Kang, Kang Min Lee, Won Sang Ra, Taewook Kim

Department of Electrical and Electronic Engineering

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

2 Citations (Scopus)

Abstract

This paper addresses a conceptual study on a precise passive target localization approach for substation facilities inspection using unmanned aerial vehicle (UAV) under GPS-denied environments. First, a cruciform receiver array that provides the range difference (RD) measurements between a facility (receiver array) and a UAV (transmitter) is devised. Then, to effectively deal with the real-time and accurate localization performance issue, our RD-based target localization problem is reformulated from the viewpoint of the linear least-squares estimation theory, and constrained robust weighted least-squares (C-RWLS) estimation scheme is applied. The proposed method shows excellent location estimates with the help of hard constraints on the geometric relation to the transceivers. Also, it is suitable for real-time implementation due to its linear structure. The reliability of the proposed estimation method is demonstrated through simulations from various points of the UAV.

Original language	English
Title of host publication	Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	844-849
Number of pages	6
ISBN (Electronic)	9781728157306
DOIs	https://doi.org/10.1109/ICIT46573.2021.9453470
Publication status	Published - 2021 Mar 10
Event	22nd IEEE International Conference on Industrial Technology, ICIT 2021 - Valencia, Spain Duration: 2021 Mar 10 → 2021 Mar 12

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
Volume	2021-March

Conference

Conference	22nd IEEE International Conference on Industrial Technology, ICIT 2021
Country/Territory	Spain
City	Valencia
Period	21/3/10 → 21/3/12

Bibliographical note

Funding Information:
This research was supported by Korea Electric Power Corporation (Grant Number: R19XO01-51)

Publisher Copyright:
© 2021 IEEE.

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/ICIT46573.2021.9453470

Cite this

Suh, U. S., Kim, T. W., Kang, D. H., Lee, K. M., Ra, W. S., & Kim, T. (2021). A Robust Passive Target Localization for Substation Inspection of UAV in a GPS-denied Environment. In Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021 (pp. 844-849). [9453470] (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2021-March). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT46573.2021.9453470

Suh, Ui Suk ; Kim, Tae Wan ; Kang, Dong Hwa et al. / A Robust Passive Target Localization for Substation Inspection of UAV in a GPS-denied Environment. Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 844-849 (Proceedings of the IEEE International Conference on Industrial Technology).

@inproceedings{ac2005cef43646e98e2d0486564a982f,

title = "A Robust Passive Target Localization for Substation Inspection of UAV in a GPS-denied Environment",

abstract = "This paper addresses a conceptual study on a precise passive target localization approach for substation facilities inspection using unmanned aerial vehicle (UAV) under GPS-denied environments. First, a cruciform receiver array that provides the range difference (RD) measurements between a facility (receiver array) and a UAV (transmitter) is devised. Then, to effectively deal with the real-time and accurate localization performance issue, our RD-based target localization problem is reformulated from the viewpoint of the linear least-squares estimation theory, and constrained robust weighted least-squares (C-RWLS) estimation scheme is applied. The proposed method shows excellent location estimates with the help of hard constraints on the geometric relation to the transceivers. Also, it is suitable for real-time implementation due to its linear structure. The reliability of the proposed estimation method is demonstrated through simulations from various points of the UAV.",

author = "Suh, {Ui Suk} and Kim, {Tae Wan} and Kang, {Dong Hwa} and Lee, {Kang Min} and Ra, {Won Sang} and Taewook Kim",

note = "Funding Information: This research was supported by Korea Electric Power Corporation (Grant Number: R19XO01-51) Publisher Copyright: {\textcopyright} 2021 IEEE.; 22nd IEEE International Conference on Industrial Technology, ICIT 2021 ; Conference date: 10-03-2021 Through 12-03-2021",

year = "2021",

month = mar,

day = "10",

doi = "10.1109/ICIT46573.2021.9453470",

language = "English",

series = "Proceedings of the IEEE International Conference on Industrial Technology",

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

pages = "844--849",

booktitle = "Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021",

address = "United States",

}

Suh, US, Kim, TW, Kang, DH, Lee, KM, Ra, WS & Kim, T 2021, A Robust Passive Target Localization for Substation Inspection of UAV in a GPS-denied Environment. in Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021., 9453470, Proceedings of the IEEE International Conference on Industrial Technology, vol. 2021-March, Institute of Electrical and Electronics Engineers Inc., pp. 844-849, 22nd IEEE International Conference on Industrial Technology, ICIT 2021, Valencia, Spain, 21/3/10. https://doi.org/10.1109/ICIT46573.2021.9453470

A Robust Passive Target Localization for Substation Inspection of UAV in a GPS-denied Environment. / Suh, Ui Suk; Kim, Tae Wan; Kang, Dong Hwa et al.

Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 844-849 9453470 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2021-March).

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

TY - GEN

T1 - A Robust Passive Target Localization for Substation Inspection of UAV in a GPS-denied Environment

AU - Suh, Ui Suk

AU - Kim, Tae Wan

AU - Kang, Dong Hwa

AU - Lee, Kang Min

AU - Ra, Won Sang

AU - Kim, Taewook

PY - 2021/3/10

Y1 - 2021/3/10

N2 - This paper addresses a conceptual study on a precise passive target localization approach for substation facilities inspection using unmanned aerial vehicle (UAV) under GPS-denied environments. First, a cruciform receiver array that provides the range difference (RD) measurements between a facility (receiver array) and a UAV (transmitter) is devised. Then, to effectively deal with the real-time and accurate localization performance issue, our RD-based target localization problem is reformulated from the viewpoint of the linear least-squares estimation theory, and constrained robust weighted least-squares (C-RWLS) estimation scheme is applied. The proposed method shows excellent location estimates with the help of hard constraints on the geometric relation to the transceivers. Also, it is suitable for real-time implementation due to its linear structure. The reliability of the proposed estimation method is demonstrated through simulations from various points of the UAV.

AB - This paper addresses a conceptual study on a precise passive target localization approach for substation facilities inspection using unmanned aerial vehicle (UAV) under GPS-denied environments. First, a cruciform receiver array that provides the range difference (RD) measurements between a facility (receiver array) and a UAV (transmitter) is devised. Then, to effectively deal with the real-time and accurate localization performance issue, our RD-based target localization problem is reformulated from the viewpoint of the linear least-squares estimation theory, and constrained robust weighted least-squares (C-RWLS) estimation scheme is applied. The proposed method shows excellent location estimates with the help of hard constraints on the geometric relation to the transceivers. Also, it is suitable for real-time implementation due to its linear structure. The reliability of the proposed estimation method is demonstrated through simulations from various points of the UAV.

UR - http://www.scopus.com/inward/record.url?scp=85112561015&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85112561015&partnerID=8YFLogxK

U2 - 10.1109/ICIT46573.2021.9453470

DO - 10.1109/ICIT46573.2021.9453470

M3 - Conference contribution

AN - SCOPUS:85112561015

T3 - Proceedings of the IEEE International Conference on Industrial Technology

SP - 844

EP - 849

BT - Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd IEEE International Conference on Industrial Technology, ICIT 2021

Y2 - 10 March 2021 through 12 March 2021

ER -

Suh US, Kim TW, Kang DH, Lee KM, Ra WS, Kim T. A Robust Passive Target Localization for Substation Inspection of UAV in a GPS-denied Environment. In Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 844-849. 9453470. (Proceedings of the IEEE International Conference on Industrial Technology). doi: 10.1109/ICIT46573.2021.9453470

A Robust Passive Target Localization for Substation Inspection of UAV in a GPS-denied Environment

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this