The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
저자들은 가시광통신(VLC) 시스템의 일부인 LED 전구를 통해 위치정보를 제공하는 가시광통신식별(VLID) 시스템의 개선에 중점을 두고 있다. 기존 VLID 시스템은 실내 수준에서 매우 낮은 위치 추정 정확도를 제공합니다. 우리의 접근 방식에서는 송신기 측에 추가 인프라나 수정이 필요하지 않습니다. 수신측에는 6축 센서가 내장되어 3축의 방위각과 3축의 Tilt 각도 정보를 제공하여 위치 추정을 수행합니다. 제안된 시스템의 유효성을 확인하기 위해 실증적 분석과 수치적 분석을 통해 제안된 시스템의 특성을 검증한다. 제안된 시스템의 특성을 정당화하기 위해 Field-of-View(FOV: ψ)라는 두 단어를 정의합니다.c) 한계 및 민감도 (RXS) 한계. FOV와 민감도 제한은 모두 위치 추정 정확도에 중요한 영향을 미칩니다. 직관적으로 FOV가 있는 모든 시스템에서 더 작은 FOV 구성으로 더 높은 위치 정확도를 달성할 수 있습니다. 반대로, VLID의 시스템 특성을 기반으로 우리는 위치 추정 기법, 즉 SwERP(Switching Estimated Receiver Position)가 넓은 FOV 구성에서도 높은 정확도를 제공하는 방식을 제안합니다. 오류 거리의 누적 분포 함수(CDF)와 실험 위치와 추정된 수신기 위치 사이의 RMSED(Root Mean Square of Error Distance)는 시스템 성능을 나타내는 데 사용됩니다. 440개 수신기의 FOV 구성에서 3개의 샘플을 수집했습니다. 1320mm의 실험 영역 내에서 총 1200개의 샘플을 수집했습니다.
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부
Chinnapat SERTTHIN, Tomoaki OHTSUKI, Masao NAKAGAWA, "6-Axis Sensor Assisted Low Complexity High Accuracy-Visible Light Communication Based Indoor Positioning System" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 11, pp. 2879-2891, November 2010, doi: 10.1587/transcom.E93.B.2879.
Abstract: The authors focus on the improvement of Visible Light Communication Identification (VLID) system that provides positioning information via LED light bulb, which is a part of Visible Light Communication (VLC) system. The conventional VLID system provides very low positioning estimation accuracy at room level. In our approach, neither additional infrastructure nor modification is required on the transmitter side. On the receiver side, 6-axis sensor is embedded to provide 3-axis of Azimuth and 3-axis of Tilt angulations information to perform positioning estimation. We verify the proposed system characteristics by making both empirical and numerical analysis, to confirm the effectiveness of proposed system. We define two words to justify the characteristic of the proposed system, which are Field-of-View (FOV: ψc) Limit and Sensitivity (RXS) Limit. Both FOV and Sensitivity Limits have crucial impact on positioning estimation accuracy. Intuitively, higher positioning accuracy can be achieved with smaller FOV configuration in any system that has FOV. Conversely, based on system characteristics of VLID, we propose a positioning estimation scheme, namely Switching Estimated Receiver Position (SwERP) yields high accuracy even with wide FOV configuration. Cumulative Distribution Function (CDF) of error distance and Root Mean Square of Error Distance (RMSED) between experimental positions and estimated receiver positions are used to indicate the system performance. We collected 440 samples from 3 receivers' FOV configurations altogether 1320 samples within the experimental area of 1200 mm
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.2879/_p
부
@ARTICLE{e93-b_11_2879,
author={Chinnapat SERTTHIN, Tomoaki OHTSUKI, Masao NAKAGAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={6-Axis Sensor Assisted Low Complexity High Accuracy-Visible Light Communication Based Indoor Positioning System},
year={2010},
volume={E93-B},
number={11},
pages={2879-2891},
abstract={The authors focus on the improvement of Visible Light Communication Identification (VLID) system that provides positioning information via LED light bulb, which is a part of Visible Light Communication (VLC) system. The conventional VLID system provides very low positioning estimation accuracy at room level. In our approach, neither additional infrastructure nor modification is required on the transmitter side. On the receiver side, 6-axis sensor is embedded to provide 3-axis of Azimuth and 3-axis of Tilt angulations information to perform positioning estimation. We verify the proposed system characteristics by making both empirical and numerical analysis, to confirm the effectiveness of proposed system. We define two words to justify the characteristic of the proposed system, which are Field-of-View (FOV: ψc) Limit and Sensitivity (RXS) Limit. Both FOV and Sensitivity Limits have crucial impact on positioning estimation accuracy. Intuitively, higher positioning accuracy can be achieved with smaller FOV configuration in any system that has FOV. Conversely, based on system characteristics of VLID, we propose a positioning estimation scheme, namely Switching Estimated Receiver Position (SwERP) yields high accuracy even with wide FOV configuration. Cumulative Distribution Function (CDF) of error distance and Root Mean Square of Error Distance (RMSED) between experimental positions and estimated receiver positions are used to indicate the system performance. We collected 440 samples from 3 receivers' FOV configurations altogether 1320 samples within the experimental area of 1200 mm
keywords={},
doi={10.1587/transcom.E93.B.2879},
ISSN={1745-1345},
month={November},}
부
TY - JOUR
TI - 6-Axis Sensor Assisted Low Complexity High Accuracy-Visible Light Communication Based Indoor Positioning System
T2 - IEICE TRANSACTIONS on Communications
SP - 2879
EP - 2891
AU - Chinnapat SERTTHIN
AU - Tomoaki OHTSUKI
AU - Masao NAKAGAWA
PY - 2010
DO - 10.1587/transcom.E93.B.2879
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2010
AB - The authors focus on the improvement of Visible Light Communication Identification (VLID) system that provides positioning information via LED light bulb, which is a part of Visible Light Communication (VLC) system. The conventional VLID system provides very low positioning estimation accuracy at room level. In our approach, neither additional infrastructure nor modification is required on the transmitter side. On the receiver side, 6-axis sensor is embedded to provide 3-axis of Azimuth and 3-axis of Tilt angulations information to perform positioning estimation. We verify the proposed system characteristics by making both empirical and numerical analysis, to confirm the effectiveness of proposed system. We define two words to justify the characteristic of the proposed system, which are Field-of-View (FOV: ψc) Limit and Sensitivity (RXS) Limit. Both FOV and Sensitivity Limits have crucial impact on positioning estimation accuracy. Intuitively, higher positioning accuracy can be achieved with smaller FOV configuration in any system that has FOV. Conversely, based on system characteristics of VLID, we propose a positioning estimation scheme, namely Switching Estimated Receiver Position (SwERP) yields high accuracy even with wide FOV configuration. Cumulative Distribution Function (CDF) of error distance and Root Mean Square of Error Distance (RMSED) between experimental positions and estimated receiver positions are used to indicate the system performance. We collected 440 samples from 3 receivers' FOV configurations altogether 1320 samples within the experimental area of 1200 mm
ER -