3D underwater localization using EM waves attenuation for UUV docking

Daegil Park; Jaehoon Jung; Kyungmin Kwak; Wan Kyun Chung; Jinhyun Kim

doi:10.1109/UT.2017.7890278

3D underwater localization using EM waves attenuation for UUV docking

Daegil Park, Jaehoon Jung, Kyungmin Kwak, Wan Kyun Chung, Jinhyun Kim

Dept. of Mechanical & Automotive Engineering

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

15 Scopus citations

Abstract

In this paper, we propose the underwater localization scheme for unmanned underwater vehicle (UUV) docking through the received signal strength (RSS) of electromagnetic (EM) waves sensors. By using the advantages of EM waves characteristics in water, this sensor can not only measure the distance with low environmental noise, but also guarantee precise localization performance with high sampling rates. In this localization scheme, an underwater wireless sensor network (UWSN) is constructed at target docking place using the sets of RF sensors. This UWSN functions as an artificial landmark during UUV docking. This localization process is operated in the framework of extended Kalman filter (EKF), and iterated during the docking procedure. The proposed scheme is verified by using the trajectory tracking experiment during UUV docking procedure.

Original language	English
Title of host publication	2017 IEEE OES International Symposium on Underwater Technology, UT 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509052660
DOIs	https://doi.org/10.1109/UT.2017.7890278
State	Published - 29 Mar 2017
Event	2017 IEEE OES International Symposium on Underwater Technology, UT 2017 - Haeundae, Busan, Korea, Republic of Duration: 21 Feb 2017 → 24 Feb 2017

Publication series

Name	2017 IEEE OES International Symposium on Underwater Technology, UT 2017

Conference

Conference	2017 IEEE OES International Symposium on Underwater Technology, UT 2017
Country/Territory	Korea, Republic of
City	Haeundae, Busan
Period	21/02/17 → 24/02/17

Keywords

Docking
EM waves
Localization
Received Signal Strength

Access to Document

10.1109/UT.2017.7890278

Cite this

Park, D., Jung, J., Kwak, K., Chung, W. K., & Kim, J. (2017). 3D underwater localization using EM waves attenuation for UUV docking. In 2017 IEEE OES International Symposium on Underwater Technology, UT 2017 Article 7890278 (2017 IEEE OES International Symposium on Underwater Technology, UT 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UT.2017.7890278

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title = "3D underwater localization using EM waves attenuation for UUV docking",

abstract = "In this paper, we propose the underwater localization scheme for unmanned underwater vehicle (UUV) docking through the received signal strength (RSS) of electromagnetic (EM) waves sensors. By using the advantages of EM waves characteristics in water, this sensor can not only measure the distance with low environmental noise, but also guarantee precise localization performance with high sampling rates. In this localization scheme, an underwater wireless sensor network (UWSN) is constructed at target docking place using the sets of RF sensors. This UWSN functions as an artificial landmark during UUV docking. This localization process is operated in the framework of extended Kalman filter (EKF), and iterated during the docking procedure. The proposed scheme is verified by using the trajectory tracking experiment during UUV docking procedure.",

keywords = "Docking, EM waves, Localization, Received Signal Strength",

author = "Daegil Park and Jaehoon Jung and Kyungmin Kwak and Chung, {Wan Kyun} and Jinhyun Kim",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE OES International Symposium on Underwater Technology, UT 2017 ; Conference date: 21-02-2017 Through 24-02-2017",

year = "2017",

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day = "29",

doi = "10.1109/UT.2017.7890278",

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Park, D, Jung, J, Kwak, K, Chung, WK & Kim, J 2017, 3D underwater localization using EM waves attenuation for UUV docking. in 2017 IEEE OES International Symposium on Underwater Technology, UT 2017., 7890278, 2017 IEEE OES International Symposium on Underwater Technology, UT 2017, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE OES International Symposium on Underwater Technology, UT 2017, Haeundae, Busan, Korea, Republic of, 21/02/17. https://doi.org/10.1109/UT.2017.7890278

3D underwater localization using EM waves attenuation for UUV docking. / Park, Daegil; Jung, Jaehoon; Kwak, Kyungmin et al.
2017 IEEE OES International Symposium on Underwater Technology, UT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7890278 (2017 IEEE OES International Symposium on Underwater Technology, UT 2017).

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

TY - GEN

T1 - 3D underwater localization using EM waves attenuation for UUV docking

AU - Park, Daegil

AU - Jung, Jaehoon

AU - Kwak, Kyungmin

AU - Chung, Wan Kyun

AU - Kim, Jinhyun

PY - 2017/3/29

Y1 - 2017/3/29

N2 - In this paper, we propose the underwater localization scheme for unmanned underwater vehicle (UUV) docking through the received signal strength (RSS) of electromagnetic (EM) waves sensors. By using the advantages of EM waves characteristics in water, this sensor can not only measure the distance with low environmental noise, but also guarantee precise localization performance with high sampling rates. In this localization scheme, an underwater wireless sensor network (UWSN) is constructed at target docking place using the sets of RF sensors. This UWSN functions as an artificial landmark during UUV docking. This localization process is operated in the framework of extended Kalman filter (EKF), and iterated during the docking procedure. The proposed scheme is verified by using the trajectory tracking experiment during UUV docking procedure.

AB - In this paper, we propose the underwater localization scheme for unmanned underwater vehicle (UUV) docking through the received signal strength (RSS) of electromagnetic (EM) waves sensors. By using the advantages of EM waves characteristics in water, this sensor can not only measure the distance with low environmental noise, but also guarantee precise localization performance with high sampling rates. In this localization scheme, an underwater wireless sensor network (UWSN) is constructed at target docking place using the sets of RF sensors. This UWSN functions as an artificial landmark during UUV docking. This localization process is operated in the framework of extended Kalman filter (EKF), and iterated during the docking procedure. The proposed scheme is verified by using the trajectory tracking experiment during UUV docking procedure.

KW - Docking

KW - EM waves

KW - Localization

KW - Received Signal Strength

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M3 - Conference contribution

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T3 - 2017 IEEE OES International Symposium on Underwater Technology, UT 2017

BT - 2017 IEEE OES International Symposium on Underwater Technology, UT 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE OES International Symposium on Underwater Technology, UT 2017

Y2 - 21 February 2017 through 24 February 2017

ER -

3D underwater localization using EM waves attenuation for UUV docking

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