TDOA-/FDOA-Based Adaptive Active Target Localization Using Iterated Dual-EKF Algorithm

Kyunghyun Lee; Jinhwan Oh; Kwanho You

doi:10.1109/LCOMM.2019.2899615

TDOA-/FDOA-Based Adaptive Active Target Localization Using Iterated Dual-EKF Algorithm

Kyunghyun Lee, Jinhwan Oh, Kwanho You

Sungkyunkwan University

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

Most geolocation methods use only the time difference of arrival for estimating the emitter's location. In this letter, to obtain the velocity estimate values of an active target, we use the frequency difference of arrival. The iterated dual-extended Kalman filter (EKF) algorithm is used as a geolocation process for a moving emitter. In comparison with the dual-EKF algorithm, the parameter estimation filter's update speed of the iterated dual-EKF algorithm shows a high convergence rate through the iteration process. To verify the performance of the proposed algorithm, simulation results by using the iterated dual-EKF algorithm are presented.

Original language	English
Article number	8642941
Pages (from-to)	752-755
Number of pages	4
Journal	IEEE Communications Letters
Volume	23
Issue number	4
DOIs	https://doi.org/10.1109/LCOMM.2019.2899615
State	Published - Apr 2019
Externally published	Yes

Keywords

frequency difference of arrival
iterated dual-EKF
localization
Time difference of arrival

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10.1109/LCOMM.2019.2899615

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title = "TDOA-/FDOA-Based Adaptive Active Target Localization Using Iterated Dual-EKF Algorithm",

abstract = "Most geolocation methods use only the time difference of arrival for estimating the emitter's location. In this letter, to obtain the velocity estimate values of an active target, we use the frequency difference of arrival. The iterated dual-extended Kalman filter (EKF) algorithm is used as a geolocation process for a moving emitter. In comparison with the dual-EKF algorithm, the parameter estimation filter's update speed of the iterated dual-EKF algorithm shows a high convergence rate through the iteration process. To verify the performance of the proposed algorithm, simulation results by using the iterated dual-EKF algorithm are presented.",

keywords = "frequency difference of arrival, iterated dual-EKF, localization, Time difference of arrival",

author = "Kyunghyun Lee and Jinhwan Oh and Kwanho You",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.",

year = "2019",

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T1 - TDOA-/FDOA-Based Adaptive Active Target Localization Using Iterated Dual-EKF Algorithm

AU - Lee, Kyunghyun

AU - Oh, Jinhwan

AU - You, Kwanho

PY - 2019/4

Y1 - 2019/4

N2 - Most geolocation methods use only the time difference of arrival for estimating the emitter's location. In this letter, to obtain the velocity estimate values of an active target, we use the frequency difference of arrival. The iterated dual-extended Kalman filter (EKF) algorithm is used as a geolocation process for a moving emitter. In comparison with the dual-EKF algorithm, the parameter estimation filter's update speed of the iterated dual-EKF algorithm shows a high convergence rate through the iteration process. To verify the performance of the proposed algorithm, simulation results by using the iterated dual-EKF algorithm are presented.

AB - Most geolocation methods use only the time difference of arrival for estimating the emitter's location. In this letter, to obtain the velocity estimate values of an active target, we use the frequency difference of arrival. The iterated dual-extended Kalman filter (EKF) algorithm is used as a geolocation process for a moving emitter. In comparison with the dual-EKF algorithm, the parameter estimation filter's update speed of the iterated dual-EKF algorithm shows a high convergence rate through the iteration process. To verify the performance of the proposed algorithm, simulation results by using the iterated dual-EKF algorithm are presented.

KW - frequency difference of arrival

KW - iterated dual-EKF

KW - localization

KW - Time difference of arrival

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SN - 1089-7798

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EP - 755

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 4

M1 - 8642941

ER -

TDOA-/FDOA-Based Adaptive Active Target Localization Using Iterated Dual-EKF Algorithm

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Keywords

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