A Nonparametric Estimation Approach Based on Apollonius Circles for Outdoor Localization

Byung Jin LEE; Kyung Seok KIM

doi:10.1587/transcom.2016EBP3158

A Nonparametric Estimation Approach Based on Apollonius Circles for Outdoor Localization

Byung Jin LEE, Kyung Seok KIM

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When performing measurements in an outdoor field environment, various interference factors occur. So, many studies have been performed to increase the accuracy of the localization. This paper presents a novel probability-based approach to estimating position based on Apollonius circles. The proposed algorithm is a modified method of existing trilateration techniques. This method does not need to know the exact transmission power of the source and does not require a calibration procedure. The proposed algorithm is verified in several typical environments, and simulation results show that the proposed method outperforms existing algorithms.

Publication: IEICE TRANSACTIONS on Communications Vol.E100-B No.4 pp.638-645

Publication Date: 2017/04/01

Publicized: 2016/11/07

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2016EBP3158

Type of Manuscript: PAPER

Category: Sensing

Authors

Byung Jin LEE
Chungbuk National University
Kyung Seok KIM
Chungbuk National University

Keyword

nonparametric estimation, Apollonius circles, outdoor localization, received signal strength indication

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Byung Jin LEE, Kyung Seok KIM, "A Nonparametric Estimation Approach Based on Apollonius Circles for Outdoor Localization" in IEICE TRANSACTIONS on Communications, vol. E100-B, no. 4, pp. 638-645, April 2017, doi: 10.1587/transcom.2016EBP3158.
Abstract: When performing measurements in an outdoor field environment, various interference factors occur. So, many studies have been performed to increase the accuracy of the localization. This paper presents a novel probability-based approach to estimating position based on Apollonius circles. The proposed algorithm is a modified method of existing trilateration techniques. This method does not need to know the exact transmission power of the source and does not require a calibration procedure. The proposed algorithm is verified in several typical environments, and simulation results show that the proposed method outperforms existing algorithms.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3158/_p

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@ARTICLE{e100-b_4_638,
author={Byung Jin LEE, Kyung Seok KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={A Nonparametric Estimation Approach Based on Apollonius Circles for Outdoor Localization},
year={2017},
volume={E100-B},
number={4},
pages={638-645},
abstract={When performing measurements in an outdoor field environment, various interference factors occur. So, many studies have been performed to increase the accuracy of the localization. This paper presents a novel probability-based approach to estimating position based on Apollonius circles. The proposed algorithm is a modified method of existing trilateration techniques. This method does not need to know the exact transmission power of the source and does not require a calibration procedure. The proposed algorithm is verified in several typical environments, and simulation results show that the proposed method outperforms existing algorithms.},
keywords={},
doi={10.1587/transcom.2016EBP3158},
ISSN={1745-1345},
month={April},}

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TY - JOUR
TI - A Nonparametric Estimation Approach Based on Apollonius Circles for Outdoor Localization
T2 - IEICE TRANSACTIONS on Communications
SP - 638
EP - 645
AU - Byung Jin LEE
AU - Kyung Seok KIM
PY - 2017
DO - 10.1587/transcom.2016EBP3158
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2017
AB - When performing measurements in an outdoor field environment, various interference factors occur. So, many studies have been performed to increase the accuracy of the localization. This paper presents a novel probability-based approach to estimating position based on Apollonius circles. The proposed algorithm is a modified method of existing trilateration techniques. This method does not need to know the exact transmission power of the source and does not require a calibration procedure. The proposed algorithm is verified in several typical environments, and simulation results show that the proposed method outperforms existing algorithms.
ER -