Denoising of fiber optic gyroscope signal by unsupervised adaptive filtering

Tao Ma; Jie Chen; Wenjie Chen; Bo Zhang

Denoising of fiber optic gyroscope signal by unsupervised adaptive filtering

Tao Ma^*, Jie Chen, Wenjie Chen, Bo Zhang

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

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

2 Citations (Scopus)

Abstract

Angle random walk (ARW) is the noise component at the output of a fiber optic gyroscope (FOG) and it affects the FOG short-term accuracy. Using only the noise property described by random walk coefficient, we developed an unsupervised adaptive filter (UAF) for suppressing the noise. Theoretical analysis illuminates that UAF performs as good as the best FIR filter in the sense of means square. Experimental results both in stationary and non-stationary cases show that UAF is more effective than wavelet denoising and that based on fast fourier transform.

Original language	English
Title of host publication	Proceedings of the 29th Chinese Control Conference, CCC'10
Pages	2765-2768
Number of pages	4
Publication status	Published - 2010
Event	29th Chinese Control Conference, CCC'10 - Beijing, China Duration: 29 Jul 2010 → 31 Jul 2010

Publication series

Name	Proceedings of the 29th Chinese Control Conference, CCC'10

Conference

Conference	29th Chinese Control Conference, CCC'10
Country/Territory	China
City	Beijing
Period	29/07/10 → 31/07/10

Keywords

Adaptive filtering
Fiber optic gyroscope
Random noise
Unsupervised method

Cite this

@inproceedings{0c2f7e3fce2d4865ab28063895945459,

title = "Denoising of fiber optic gyroscope signal by unsupervised adaptive filtering",

abstract = "Angle random walk (ARW) is the noise component at the output of a fiber optic gyroscope (FOG) and it affects the FOG short-term accuracy. Using only the noise property described by random walk coefficient, we developed an unsupervised adaptive filter (UAF) for suppressing the noise. Theoretical analysis illuminates that UAF performs as good as the best FIR filter in the sense of means square. Experimental results both in stationary and non-stationary cases show that UAF is more effective than wavelet denoising and that based on fast fourier transform.",

keywords = "Adaptive filtering, Fiber optic gyroscope, Random noise, Unsupervised method",

author = "Tao Ma and Jie Chen and Wenjie Chen and Bo Zhang",

year = "2010",

language = "English",

isbn = "9787894631046",

series = "Proceedings of the 29th Chinese Control Conference, CCC'10",

pages = "2765--2768",

booktitle = "Proceedings of the 29th Chinese Control Conference, CCC'10",

note = "29th Chinese Control Conference, CCC'10 ; Conference date: 29-07-2010 Through 31-07-2010",

}

Denoising of fiber optic gyroscope signal by unsupervised adaptive filtering. / Ma, Tao; Chen, Jie; Chen, Wenjie et al.
Proceedings of the 29th Chinese Control Conference, CCC'10. 2010. p. 2765-2768 5572119 (Proceedings of the 29th Chinese Control Conference, CCC'10).

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

TY - GEN

T1 - Denoising of fiber optic gyroscope signal by unsupervised adaptive filtering

AU - Ma, Tao

AU - Chen, Jie

AU - Chen, Wenjie

AU - Zhang, Bo

PY - 2010

Y1 - 2010

N2 - Angle random walk (ARW) is the noise component at the output of a fiber optic gyroscope (FOG) and it affects the FOG short-term accuracy. Using only the noise property described by random walk coefficient, we developed an unsupervised adaptive filter (UAF) for suppressing the noise. Theoretical analysis illuminates that UAF performs as good as the best FIR filter in the sense of means square. Experimental results both in stationary and non-stationary cases show that UAF is more effective than wavelet denoising and that based on fast fourier transform.

AB - Angle random walk (ARW) is the noise component at the output of a fiber optic gyroscope (FOG) and it affects the FOG short-term accuracy. Using only the noise property described by random walk coefficient, we developed an unsupervised adaptive filter (UAF) for suppressing the noise. Theoretical analysis illuminates that UAF performs as good as the best FIR filter in the sense of means square. Experimental results both in stationary and non-stationary cases show that UAF is more effective than wavelet denoising and that based on fast fourier transform.

KW - Adaptive filtering

KW - Fiber optic gyroscope

KW - Random noise

KW - Unsupervised method

UR - http://www.scopus.com/inward/record.url?scp=78650243475&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:78650243475

SN - 9787894631046

T3 - Proceedings of the 29th Chinese Control Conference, CCC'10

SP - 2765

EP - 2768

BT - Proceedings of the 29th Chinese Control Conference, CCC'10

T2 - 29th Chinese Control Conference, CCC'10

Y2 - 29 July 2010 through 31 July 2010

ER -

Denoising of fiber optic gyroscope signal by unsupervised adaptive filtering

Abstract

Publication series

Conference

Keywords

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