Hybrid de-noising approach for fiber optic gyroscopes combining improved empirical mode decomposition and forward linear prediction algorithms-Reference-Cited by-同舟云学术

Hybrid de-noising approach for fiber optic gyroscopes combining improved empirical mode decomposition and forward linear prediction algorithms

Published:2016-03 Issue:3 Volume:87 Page:033305
ISSN:0034-6748
Container-title:Review of Scientific Instruments
language:en
Short-container-title:Rev. Sci. Instrum.

Author:

Shen Chong¹,Cao Huiliang¹^ORCID,Li Jie¹,Tang Jun¹,Zhang Xiaoming¹,Shi Yunbo¹,Yang Wei¹,Liu Jun¹

Affiliation:

1. Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, People’s Republic of China and National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, People’s Republic of China

Funder

National Natural Science Foundation of China

China National Funds for Distinguished Young Scientists

Publisher

AIP Publishing

Subject

Instrumentation

Reference17 articles.

1. Precision analog demodulation technique for open-loop Sagnac fiber optic gyroscopes

2. A multi-frequency signal processing method for fiber-optic gyroscopes with square wave modulation

3. A Method on Suppression of Fiber Optic Gyroscope Intensity Noise Based on Depolarizer

4. Study on error calibration of fiber optic gyroscope under intense ambient temperature variation

5. A wavelet transform algorithm for peak detection and application to powder x-ray diffraction data

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