Font Size: a A A

The Research Of Filtering Algorithm For Inertial Navigation Systems

Posted on:2013-10-16Degree:MasterType:Thesis
Country:ChinaCandidate:W LiaoFull Text:PDF
GTID:2248330371978472Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
In the region of the city’s high-rise building areas, lush tree-lined stree t andoverpass by the interference of the satellite signal block and other factors, resultin g ina "throwing star" phenomenon, making the GPS "failure" and not continuous posi tioning. Inertial navigation and positioning technology is the use of a known initial position, according to the location and direction of change, to determine the location of a moving body navigation and positioning method at real-time. In inertial navig ation systems, signals collected by gyroscopes, accelerometer are bound to exis t outside noise, when the measured signal is random, uncertain, how to take an effec tive way to annihilation in the noise signal quality extracted as the key link.Wavelet analysis is a new kind of time-frequency analysis methods, it overcom es the shortcomings of Fourier analysis that it can only do global transformation i n time-frequency domain, and it can overcomes the shortcomings of the fixed wi ndow size and shape of short time Fourier. Wavelet-based can adjust the resolutio n in the time domain and frequency domain characteristics in a high noise environme nt from the data of the original signal to remove noise and irrelevant ingredients. Bas ed on the above advantages, it is widely used in various fields of signal analysis an d processing.The focus of this article developed a navigation component signal denoising algorit hm, the introduction of wavelet theory in the detailed analysis presented in the signa1error model. On one hand research on the wavelet basic theory, on the one han d draw the denoise dgraphics, did matlab simulation to establish the denoising algorit hm of wavelet analysis of the inertial navigation system. Then, we give several im portant wavelet basis functions, by contrasted with the simulation experiments, we c hose the best wavelet basis for the signal. After selected wavelet basis function, this paper established a C language transplantation which has reached a wider ra nge of applications.
Keywords/Search Tags:intertial navigation system, wavelet, wavelet functions, error model, comparative experiment, transplant
PDF Full Text Request
Related items