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
최근에는 폐쇄된 환경에서 모바일 대상에 대한 위치 서비스를 제공하는 것에 대한 관심이 높아지고 있습니다. GPS 거부 시나리오에서 드론에 대한 우수한 위치 파악 및 추적 성능을 제공하기 위해 본 논문에서는 장착이 쉽고 드론의 제한된 자원을 차지하지 않는 다중 태그 무선 주파수 식별(RFID) 시스템을 제안합니다. 컴퓨터 비전 기반 접근 방식에 비해 프로세서 성능 및 비용 제약에 취약합니다. 배터리가 장착되지 않은 패시브 RFID 태그는 밀리미터 수준의 초고해상도를 갖습니다. 우리는 드론에 여러 태그를 부착하고 이동 중에 여러 세트의 가상 안테나 배열을 형성하여 애플리케이션에서 중복 안테나 배열을 방지하고 속도 체인을 보정하여 추적 성능을 향상시킵니다. 드론이 탑재한 스트랩다운 관성항법장치(SINS)를 결합한 후, 시간에 따른 SINS의 표류 오류를 억제할 수 있는 결합 통합 모델을 구축했습니다. 실험은 XNUMX차원 및 XNUMX차원 시나리오로 설계되었으며 SINS/RFID 기반 통합 측위 시스템을 평가했습니다. 마지막으로 일부 매개변수의 영향에 대해 논의했으며, 이 혁신적인 접근 방식은 실제 시나리오에서 검증되었습니다.
Xiang LU
University of Science and Technology of China
Ziyang CHEN
University of Science and Technology of China
Lianpo WANG
University of Science and Technology of China
Ruidong LI
National Institute of Information and Communications and Technology (NICT)
Chao ZHAI
University of Science and Technology of China
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부
Xiang LU, Ziyang CHEN, Lianpo WANG, Ruidong LI, Chao ZHAI, "RF-Drone: Multi-Tag System for RF-ID Enables Drone Tracking in GPS-Denied Environments" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 10, pp. 1941-1950, October 2019, doi: 10.1587/transcom.2018DRP0005.
Abstract: In resent years, providing location services for mobile targets in a closed environment has been a growing interest. In order to provide good localization and tracking performance for drones in GPS-denied scenarios, this paper proposes a multi-tag radio frequency identification (RFID) system that is easy to equip and does not take up the limited resources of the drone which is not susceptible to processor performance and cost constraints compared with computer vision based approaches. The passive RFID tags, no battery equipped, have an ultra-high resolution of millimeter level. We attach multiple tags to the drone and form multiple sets of virtual antenna arrays during motion, avoiding arranging redundant antennas in applications, and calibrating the speed chain to improve tracking performance. After combining the strap-down inertial navigation system (SINS) carried by the drone, we have established a coupled integration model that can suppress the drift error of SINS with time. The experiment was designed in bi-dimensional and three-dimensional scenarios, and the integrated positioning system based on SINS/RFID was evaluated. Finally, we discussed the impact of some parameters, this innovative approach is verified in real scenarios.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018DRP0005/_p
부
@ARTICLE{e102-b_10_1941,
author={Xiang LU, Ziyang CHEN, Lianpo WANG, Ruidong LI, Chao ZHAI, },
journal={IEICE TRANSACTIONS on Communications},
title={RF-Drone: Multi-Tag System for RF-ID Enables Drone Tracking in GPS-Denied Environments},
year={2019},
volume={E102-B},
number={10},
pages={1941-1950},
abstract={In resent years, providing location services for mobile targets in a closed environment has been a growing interest. In order to provide good localization and tracking performance for drones in GPS-denied scenarios, this paper proposes a multi-tag radio frequency identification (RFID) system that is easy to equip and does not take up the limited resources of the drone which is not susceptible to processor performance and cost constraints compared with computer vision based approaches. The passive RFID tags, no battery equipped, have an ultra-high resolution of millimeter level. We attach multiple tags to the drone and form multiple sets of virtual antenna arrays during motion, avoiding arranging redundant antennas in applications, and calibrating the speed chain to improve tracking performance. After combining the strap-down inertial navigation system (SINS) carried by the drone, we have established a coupled integration model that can suppress the drift error of SINS with time. The experiment was designed in bi-dimensional and three-dimensional scenarios, and the integrated positioning system based on SINS/RFID was evaluated. Finally, we discussed the impact of some parameters, this innovative approach is verified in real scenarios.},
keywords={},
doi={10.1587/transcom.2018DRP0005},
ISSN={1745-1345},
month={October},}
부
TY - JOUR
TI - RF-Drone: Multi-Tag System for RF-ID Enables Drone Tracking in GPS-Denied Environments
T2 - IEICE TRANSACTIONS on Communications
SP - 1941
EP - 1950
AU - Xiang LU
AU - Ziyang CHEN
AU - Lianpo WANG
AU - Ruidong LI
AU - Chao ZHAI
PY - 2019
DO - 10.1587/transcom.2018DRP0005
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2019
AB - In resent years, providing location services for mobile targets in a closed environment has been a growing interest. In order to provide good localization and tracking performance for drones in GPS-denied scenarios, this paper proposes a multi-tag radio frequency identification (RFID) system that is easy to equip and does not take up the limited resources of the drone which is not susceptible to processor performance and cost constraints compared with computer vision based approaches. The passive RFID tags, no battery equipped, have an ultra-high resolution of millimeter level. We attach multiple tags to the drone and form multiple sets of virtual antenna arrays during motion, avoiding arranging redundant antennas in applications, and calibrating the speed chain to improve tracking performance. After combining the strap-down inertial navigation system (SINS) carried by the drone, we have established a coupled integration model that can suppress the drift error of SINS with time. The experiment was designed in bi-dimensional and three-dimensional scenarios, and the integrated positioning system based on SINS/RFID was evaluated. Finally, we discussed the impact of some parameters, this innovative approach is verified in real scenarios.
ER -