TDoA based UAV localization using dual-EKF algorithm

S. C. Lee; W. R. Lee; K. H. You

doi:10.1007/978-3-642-10741-2_6

TDoA based UAV localization using dual-EKF algorithm

S. C. Lee
, W. R. Lee
, K. H. You

Department of Electronic and Electrical Engineering

Sungkyunkwan University

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

13 Scopus citations

Abstract

Most UAV(unmaned aerial vehicle) systems use GPS signals only to locate the emitter's position. However GPS signals contain unwanted information contaminated by environmental components and many interference signals. In this paper, to obtain TDoA signal, we use two UAVs which are equipped with embedded wireless sensors. Under the real geolocation circumstance, it is very difficult to estimate the emitter's position exactly due to environmental noise. In this paper we use the dual-EKF algorithm to obtain the optimal estimation of state values and unknown parameters. The dual-EKF algorithm overcomes the weakness of EKF algorithm which has been widely used in geolocation problem. The performance of our proposed algorithm will be demonstrated through some simulations of UAVs.

Original language	English
Title of host publication	Control and Automation
Subtitle of host publication	International Conference, CA 2009, Held as Part of the Future Generation Information Technology Conference, CA 2009, Jeju Island, Korea, December 10-12, 2009.Proceedings
Editors	Dominik Slezak, Tai-hoon Kim, Adrian Stoica, Byeong-Ho Kang
Pages	47-54
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-10741-2_6
State	Published - 2009

Publication series

Name	Communications in Computer and Information Science
Volume	65
ISSN (Print)	1865-0929

Keywords

Dual-EKF
Localization
Time difference of arrival
Unmaned aerial vehicles

Access to Document

10.1007/978-3-642-10741-2_6

Cite this

Lee, S. C., Lee, W. R., & You, K. H. (2009). TDoA based UAV localization using dual-EKF algorithm. In D. Slezak, T. Kim, A. Stoica, & B.-H. Kang (Eds.), Control and Automation: International Conference, CA 2009, Held as Part of the Future Generation Information Technology Conference, CA 2009, Jeju Island, Korea, December 10-12, 2009.Proceedings (pp. 47-54). (Communications in Computer and Information Science; Vol. 65). https://doi.org/10.1007/978-3-642-10741-2_6

Lee, S. C. ; Lee, W. R. ; You, K. H. / TDoA based UAV localization using dual-EKF algorithm. Control and Automation: International Conference, CA 2009, Held as Part of the Future Generation Information Technology Conference, CA 2009, Jeju Island, Korea, December 10-12, 2009.Proceedings. editor / Dominik Slezak ; Tai-hoon Kim ; Adrian Stoica ; Byeong-Ho Kang. 2009. pp. 47-54 (Communications in Computer and Information Science).

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title = "TDoA based UAV localization using dual-EKF algorithm",

abstract = "Most UAV(unmaned aerial vehicle) systems use GPS signals only to locate the emitter's position. However GPS signals contain unwanted information contaminated by environmental components and many interference signals. In this paper, to obtain TDoA signal, we use two UAVs which are equipped with embedded wireless sensors. Under the real geolocation circumstance, it is very difficult to estimate the emitter's position exactly due to environmental noise. In this paper we use the dual-EKF algorithm to obtain the optimal estimation of state values and unknown parameters. The dual-EKF algorithm overcomes the weakness of EKF algorithm which has been widely used in geolocation problem. The performance of our proposed algorithm will be demonstrated through some simulations of UAVs.",

keywords = "Dual-EKF, Localization, Time difference of arrival, Unmaned aerial vehicles",

author = "Lee, \{S. C.\} and Lee, \{W. R.\} and You, \{K. H.\}",

year = "2009",

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language = "English",

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series = "Communications in Computer and Information Science",

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editor = "Dominik Slezak and Tai-hoon Kim and Adrian Stoica and Byeong-Ho Kang",

booktitle = "Control and Automation",

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Lee, SC, Lee, WR & You, KH 2009, TDoA based UAV localization using dual-EKF algorithm. in D Slezak, T Kim, A Stoica & B-H Kang (eds), Control and Automation: International Conference, CA 2009, Held as Part of the Future Generation Information Technology Conference, CA 2009, Jeju Island, Korea, December 10-12, 2009.Proceedings. Communications in Computer and Information Science, vol. 65, pp. 47-54. https://doi.org/10.1007/978-3-642-10741-2_6

TDoA based UAV localization using dual-EKF algorithm. / Lee, S. C.; Lee, W. R.; You, K. H.
Control and Automation: International Conference, CA 2009, Held as Part of the Future Generation Information Technology Conference, CA 2009, Jeju Island, Korea, December 10-12, 2009.Proceedings. ed. / Dominik Slezak; Tai-hoon Kim; Adrian Stoica; Byeong-Ho Kang. 2009. p. 47-54 (Communications in Computer and Information Science; Vol. 65).

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

TY - CHAP

T1 - TDoA based UAV localization using dual-EKF algorithm

AU - Lee, S. C.

AU - Lee, W. R.

AU - You, K. H.

PY - 2009

Y1 - 2009

N2 - Most UAV(unmaned aerial vehicle) systems use GPS signals only to locate the emitter's position. However GPS signals contain unwanted information contaminated by environmental components and many interference signals. In this paper, to obtain TDoA signal, we use two UAVs which are equipped with embedded wireless sensors. Under the real geolocation circumstance, it is very difficult to estimate the emitter's position exactly due to environmental noise. In this paper we use the dual-EKF algorithm to obtain the optimal estimation of state values and unknown parameters. The dual-EKF algorithm overcomes the weakness of EKF algorithm which has been widely used in geolocation problem. The performance of our proposed algorithm will be demonstrated through some simulations of UAVs.

AB - Most UAV(unmaned aerial vehicle) systems use GPS signals only to locate the emitter's position. However GPS signals contain unwanted information contaminated by environmental components and many interference signals. In this paper, to obtain TDoA signal, we use two UAVs which are equipped with embedded wireless sensors. Under the real geolocation circumstance, it is very difficult to estimate the emitter's position exactly due to environmental noise. In this paper we use the dual-EKF algorithm to obtain the optimal estimation of state values and unknown parameters. The dual-EKF algorithm overcomes the weakness of EKF algorithm which has been widely used in geolocation problem. The performance of our proposed algorithm will be demonstrated through some simulations of UAVs.

KW - Dual-EKF

KW - Localization

KW - Time difference of arrival

KW - Unmaned aerial vehicles

UR - https://www.scopus.com/pages/publications/75749088347

U2 - 10.1007/978-3-642-10741-2_6

DO - 10.1007/978-3-642-10741-2_6

M3 - Chapter

AN - SCOPUS:75749088347

SN - 9783642107429

T3 - Communications in Computer and Information Science

SP - 47

EP - 54

BT - Control and Automation

A2 - Slezak, Dominik

A2 - Kim, Tai-hoon

A2 - Stoica, Adrian

A2 - Kang, Byeong-Ho

ER -

Lee SC, Lee WR, You KH. TDoA based UAV localization using dual-EKF algorithm. In Slezak D, Kim T, Stoica A, Kang BH, editors, Control and Automation: International Conference, CA 2009, Held as Part of the Future Generation Information Technology Conference, CA 2009, Jeju Island, Korea, December 10-12, 2009.Proceedings. 2009. p. 47-54. (Communications in Computer and Information Science). doi: 10.1007/978-3-642-10741-2_6

TDoA based UAV localization using dual-EKF algorithm

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