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Proceedings Paper

Adaptive noise reduction for fiber optic gyroscopes in borehole applications
Author(s): Tingyang Yan; Chunxi Zhang; Shuang Gao; Zongfeng Ma
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Paper Abstract

Fiber Optic Gyroscopes (FOGs) have been investigated and proposed as alternative sensors to magnetometers in borehole surveying applications due to their compactness, ruggedness, low cost and high environmental insensitivity. However, FOGs are subject to high measurement noise from various sources, which deteriorates the performance and quality of FOGs, thus the overall system accuracy is limited. To improve the accuracy of the surveying system, adaptive filtering techniques are utilized to reduce the noise level at the output of the FOG. A Forward Linear Prediction (FLP) filter based on Normalized Least-Mean-Square (NLMS) adaptive algorithm was designed and evaluated using kinematic data. Results show that the FLP filter can suppress the FOG noise to a certain degree and a satisfactory signal-to-noise ratio improvement can be achieved using this method.

Paper Details

Date Published: 24 October 2006
PDF: 6 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 635714 (24 October 2006); doi: 10.1117/12.716938
Show Author Affiliations
Tingyang Yan, Beihang Univ. of Aeronautics and Astronautics (China)
Chunxi Zhang, Beihang Univ. of Aeronautics and Astronautics (China)
Shuang Gao, Beihang Univ. of Aeronautics and Astronautics (China)
Zongfeng Ma, Beihang Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)

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