Research On Gps Date Denoising Based On Wavelet Analyse

In the course of collected,acquired signals,because of the influence of external factors，some noise exists in the signal.Noise is one of the most major factor to extract usefulinformation for us.In order to avoid negative effects of noise become a topic of our greatestconcern.Time division frequency fine expression of wavelet analysis theory and multi-scalemulti-resolution analysis and other unique advantages, has gradually developed into adynamic measurement of important technologies in the field of signal processingmethods.Wavelet analysis and its application in practical engineering morewidespread,particularly,in terms of signal processing.such as:signal de-noising,signalcompression, and so on.This article puts wavelet analysis to signal processing ofGPS,Remove noise in signal.In the actual production process, due to the influence of external factors, making GPSreceived signal is vulnerable to interference from the outside, that is, some noise in the signal,affect measurement accuracy.To eliminate noise in the GPS signal, The text uses thresholdmethod to avoid noise in the GPS signal, first research status on at home and abroad, wavefunction of features, and select of principles for must of research, Removal of noise in thesignal.Through using MATLAB programming， the thesis will actual application in thecollection of a group data for extraction,this extraction GPS signal in the of two a satellitecarrier L1Shang of C/A yards, respectively through different calendar Yuan between pleaseout single poor and double poor, Again respectively select must of wavelet bases function andselect specific of threshold on its for Wavelet analysis to noise, by letter noise than, putRMSE,SME and smoothness as select of standard for threshold and the to noise effect ofevaluation standard, then getting of different Wavelet to noise results for contrast, accordingto contrast of results determines select which species Wavelet, select what threshold value,after determines small wave function and threshold value last by latest of a evaluation indicators--smooth of to determines eventually to noise of effect.Through experimental results demonstrate that use of demy wavelets and Penalize low todetermine thresholds to achieve differential GPS single and double difference data de-noisingeffect.For perfect de-noising using Wavelet analysis theory, reduce the number of GPS dataprocessing of certain theoretical and practical foundation for the error.