Application of lifting scheme Translation-invariant Wavelet De-noising Method in GPS/INS Integrated Navigation

Author

Ma, Hong-jiao ; Hu, Yong-hui ; Wu, Jian-feng ; Wang, Ji-gang ; Guo, Wei

Author_Institution

Nat. Time Service Center, Chinese Acad. of Sci., Xi´´an, China

fYear

2009

fDate

12-15 July 2009

Firstpage

303

Lastpage

307

Abstract

In connection with difficultly establishing accurate mathematical model by extended Kalman filter in data process in GPS/INS integrated navigation, lifting wavelet algorithm using translation-invariant method is applied to reduce noise of observational signal. Pseudo-Gibbs appearances of signal that are produced in discontinuity points can effectively be eliminated by translation-invariant. Lifting wavelet algorithm is more accurate and quicker than traditional Mallat wavelet method. Compared with traditional soft and hard threshold functions, improved threshold function is more continuous in navigation signal process. Study shows improved wavelet de-noising method is a superior method in saving calculation time and improving navigation performance.

Keywords

Global Positioning System; Kalman filters; inertial navigation; nonlinear filters; signal denoising; wavelet transforms; GPS/INS integrated navigation; data process; extended Kalman filter; lifting wavelet algorithm; navigation signal; observational signal; pseudoGibbs signal appearance; translation-invariant wavelet denoising; Global Positioning System; Navigation; Noise reduction; GPS/INS; Lifting wavelet; Threshold; Translation-invariant;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3728-3

Electronic_ISBN

978-1-4244-3729-0

Type

conf

DOI

10.1109/ICWAPR.2009.5207498

Filename

5207498