Title :
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
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;
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
DOI :
10.1109/ICWAPR.2009.5207498
