Resonator optimization of the resonant fiber optic gyro under dynamic condition

Zhuo Wang; Guochen Wang; Wei Gao; Zhenpeng Wang; Zicheng Wang; Weiqi Miao

doi:10.1109/PLANS.2018.8373361

Resonator optimization of the resonant fiber optic gyro under dynamic condition

Zhuo Wang
, Guochen Wang
, Wei Gao
, Zhenpeng Wang
, Zicheng Wang
, Weiqi Miao

School of Electrical Engineering and Automation, Harbin Institute of Technology
Sichuan Academy of Aerospace Technology

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

2 Scopus citations

Abstract

As the core sensing component of resonant fiber optic gyro (RFOG), the finesse and resonant depth of resonator determine the accuracy of gyro. In this paper, the experiment based on phase scanning of laser and modulation of resonator is fabricated to simulate actual dynamic condition. According to experimental resonant characteristics under dynamic condition, parameters of resonator are optimized to improve performances. The splicing loss of resonator and coupling coefficient, insert loss of coupler are simulated respectively to analyze influences of those parameters. Experiment is fabricated after parameters optimization.

Original language	English
Title of host publication	2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	31-33
Number of pages	3
ISBN (Electronic)	9781538616475
DOIs	https://doi.org/10.1109/PLANS.2018.8373361
State	Published - 5 Jun 2018
Externally published	Yes
Event	2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Monterey, United States Duration: 23 Apr 2018 → 26 Apr 2018

Publication series

Name	2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings

Conference

Conference	2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018
Country/Territory	United States
City	Monterey
Period	23/04/18 → 26/04/18

Keywords

Parameter optimization
Photonic crystal fiber
Resonant fiber optic gyro
Resonator

Access to Document

10.1109/PLANS.2018.8373361

Cite this

Wang, Z., Wang, G., Gao, W., Wang, Z., Wang, Z., & Miao, W. (2018). Resonator optimization of the resonant fiber optic gyro under dynamic condition. In 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings (pp. 31-33). (2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PLANS.2018.8373361

Wang, Zhuo ; Wang, Guochen ; Gao, Wei et al. / Resonator optimization of the resonant fiber optic gyro under dynamic condition. 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 31-33 (2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings).

@inproceedings{3902b61d9b224552ab24a96e4168f85f,

title = "Resonator optimization of the resonant fiber optic gyro under dynamic condition",

abstract = "As the core sensing component of resonant fiber optic gyro (RFOG), the finesse and resonant depth of resonator determine the accuracy of gyro. In this paper, the experiment based on phase scanning of laser and modulation of resonator is fabricated to simulate actual dynamic condition. According to experimental resonant characteristics under dynamic condition, parameters of resonator are optimized to improve performances. The splicing loss of resonator and coupling coefficient, insert loss of coupler are simulated respectively to analyze influences of those parameters. Experiment is fabricated after parameters optimization.",

keywords = "Parameter optimization, Photonic crystal fiber, Resonant fiber optic gyro, Resonator",

author = "Zhuo Wang and Guochen Wang and Wei Gao and Zhenpeng Wang and Zicheng Wang and Weiqi Miao",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 ; Conference date: 23-04-2018 Through 26-04-2018",

year = "2018",

month = jun,

day = "5",

doi = "10.1109/PLANS.2018.8373361",

language = "英语",

series = "2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "31--33",

booktitle = "2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings",

address = "美国",

}

Wang, Z, Wang, G , Gao, W, Wang, Z, Wang, Z & Miao, W 2018, Resonator optimization of the resonant fiber optic gyro under dynamic condition. in 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings. 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 31-33, 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018, Monterey, United States, 23/04/18. https://doi.org/10.1109/PLANS.2018.8373361

Resonator optimization of the resonant fiber optic gyro under dynamic condition. / Wang, Zhuo; Wang, Guochen ; Gao, Wei et al.
2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 31-33 (2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings).

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

TY - GEN

T1 - Resonator optimization of the resonant fiber optic gyro under dynamic condition

AU - Wang, Zhuo

AU - Wang, Guochen

AU - Gao, Wei

AU - Wang, Zhenpeng

AU - Wang, Zicheng

AU - Miao, Weiqi

PY - 2018/6/5

Y1 - 2018/6/5

N2 - As the core sensing component of resonant fiber optic gyro (RFOG), the finesse and resonant depth of resonator determine the accuracy of gyro. In this paper, the experiment based on phase scanning of laser and modulation of resonator is fabricated to simulate actual dynamic condition. According to experimental resonant characteristics under dynamic condition, parameters of resonator are optimized to improve performances. The splicing loss of resonator and coupling coefficient, insert loss of coupler are simulated respectively to analyze influences of those parameters. Experiment is fabricated after parameters optimization.

AB - As the core sensing component of resonant fiber optic gyro (RFOG), the finesse and resonant depth of resonator determine the accuracy of gyro. In this paper, the experiment based on phase scanning of laser and modulation of resonator is fabricated to simulate actual dynamic condition. According to experimental resonant characteristics under dynamic condition, parameters of resonator are optimized to improve performances. The splicing loss of resonator and coupling coefficient, insert loss of coupler are simulated respectively to analyze influences of those parameters. Experiment is fabricated after parameters optimization.

KW - Parameter optimization

KW - Photonic crystal fiber

KW - Resonant fiber optic gyro

KW - Resonator

UR - https://www.scopus.com/pages/publications/85048876888

U2 - 10.1109/PLANS.2018.8373361

DO - 10.1109/PLANS.2018.8373361

M3 - 会议稿件

AN - SCOPUS:85048876888

T3 - 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings

SP - 31

EP - 33

BT - 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018

Y2 - 23 April 2018 through 26 April 2018

ER -

Wang Z, Wang G , Gao W, Wang Z, Wang Z, Miao W. Resonator optimization of the resonant fiber optic gyro under dynamic condition. In 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 31-33. (2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings). doi: 10.1109/PLANS.2018.8373361

Resonator optimization of the resonant fiber optic gyro under dynamic condition

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