Application of wavelet threshold method to DTG signal processing

Tao Cai; Minggang Gan; Ting Yu

doi:10.1109/CCDC.2010.5498275

Application of wavelet threshold method to DTG signal processing

Tao Cai^*, Minggang Gan, Ting Yu

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

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

4 Citations (Scopus)

Abstract

In the process of azimuth measuring, the output signal of a gyro always contains noises caused by gyro drifting and ambient environmental influence. In order to reduce the noises and recover the original signal, conventional digital filtering methods such as IIR and FIR could be used. But the outputs of these filters would be distorted or in lack of smoothness under some special conditions. Wavelet analysis is suitable to this circumstance for its characteristic of multi-resolution of time and frequency and localization in space. Therefore, a wavelet threshold filter is designed, and the simulating result is given. A comparison was made on the results of wavelet threshold, IIR and FIR filtering method. The analysis demonstrates that wavelet threshold filtering performance is the best.

Original language	English
Title of host publication	2010 Chinese Control and Decision Conference, CCDC 2010
Pages	1553-1556
Number of pages	4
DOIs	https://doi.org/10.1109/CCDC.2010.5498275
Publication status	Published - 2010
Event	2010 Chinese Control and Decision Conference, CCDC 2010 - Xuzhou, China Duration: 26 May 2010 → 28 May 2010

Publication series

Name	2010 Chinese Control and Decision Conference, CCDC 2010

Conference

Conference	2010 Chinese Control and Decision Conference, CCDC 2010
Country/Territory	China
City	Xuzhou
Period	26/05/10 → 28/05/10

Keywords

Digital filtering
FIR
Gyro
IIR
Wavelet threshold filtering

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10.1109/CCDC.2010.5498275

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title = "Application of wavelet threshold method to DTG signal processing",

abstract = "In the process of azimuth measuring, the output signal of a gyro always contains noises caused by gyro drifting and ambient environmental influence. In order to reduce the noises and recover the original signal, conventional digital filtering methods such as IIR and FIR could be used. But the outputs of these filters would be distorted or in lack of smoothness under some special conditions. Wavelet analysis is suitable to this circumstance for its characteristic of multi-resolution of time and frequency and localization in space. Therefore, a wavelet threshold filter is designed, and the simulating result is given. A comparison was made on the results of wavelet threshold, IIR and FIR filtering method. The analysis demonstrates that wavelet threshold filtering performance is the best.",

keywords = "Digital filtering, FIR, Gyro, IIR, Wavelet threshold filtering",

author = "Tao Cai and Minggang Gan and Ting Yu",

year = "2010",

doi = "10.1109/CCDC.2010.5498275",

language = "English",

isbn = "9781424451821",

series = "2010 Chinese Control and Decision Conference, CCDC 2010",

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booktitle = "2010 Chinese Control and Decision Conference, CCDC 2010",

note = "2010 Chinese Control and Decision Conference, CCDC 2010 ; Conference date: 26-05-2010 Through 28-05-2010",

}

TY - GEN

T1 - Application of wavelet threshold method to DTG signal processing

AU - Cai, Tao

AU - Gan, Minggang

AU - Yu, Ting

PY - 2010

Y1 - 2010

N2 - In the process of azimuth measuring, the output signal of a gyro always contains noises caused by gyro drifting and ambient environmental influence. In order to reduce the noises and recover the original signal, conventional digital filtering methods such as IIR and FIR could be used. But the outputs of these filters would be distorted or in lack of smoothness under some special conditions. Wavelet analysis is suitable to this circumstance for its characteristic of multi-resolution of time and frequency and localization in space. Therefore, a wavelet threshold filter is designed, and the simulating result is given. A comparison was made on the results of wavelet threshold, IIR and FIR filtering method. The analysis demonstrates that wavelet threshold filtering performance is the best.

AB - In the process of azimuth measuring, the output signal of a gyro always contains noises caused by gyro drifting and ambient environmental influence. In order to reduce the noises and recover the original signal, conventional digital filtering methods such as IIR and FIR could be used. But the outputs of these filters would be distorted or in lack of smoothness under some special conditions. Wavelet analysis is suitable to this circumstance for its characteristic of multi-resolution of time and frequency and localization in space. Therefore, a wavelet threshold filter is designed, and the simulating result is given. A comparison was made on the results of wavelet threshold, IIR and FIR filtering method. The analysis demonstrates that wavelet threshold filtering performance is the best.

KW - Digital filtering

KW - FIR

KW - Gyro

KW - IIR

KW - Wavelet threshold filtering

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U2 - 10.1109/CCDC.2010.5498275

DO - 10.1109/CCDC.2010.5498275

M3 - Conference contribution

AN - SCOPUS:77955410548

SN - 9781424451821

T3 - 2010 Chinese Control and Decision Conference, CCDC 2010

SP - 1553

EP - 1556

BT - 2010 Chinese Control and Decision Conference, CCDC 2010

T2 - 2010 Chinese Control and Decision Conference, CCDC 2010

Y2 - 26 May 2010 through 28 May 2010

ER -

Application of wavelet threshold method to DTG signal processing

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Keywords

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