GPSGLONASS组合点定位模型及其精度分析-豆柴文库

您所在位置：网站首页 / GPSGLONASS组合点定位模型及其精度分析.docx / 文档详情

在线预览结束，喜欢就下载吧，查找使用更方便

5 金币

下载文档

/ 2

下载提示

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

文本预览

GPSGLONASS组合点定位模型及其精度分析
Title:GPSGLONASSCombinedPositioningModelandAccuracyAnalysis
Abstract:
Inrecentyears,theGlobalNavigationSatelliteSystem(GNSS)hasbecomeanessentialtoolforprecisepositioningandnavigation.ThecombinationofGPSandGLONASS,twomajorGNSSconstellations,hasgainedsignificantattentionduetoitspotentialtoenhancethepositioningaccuracy.ThispaperdiscussestheGPSGLONASScombinedpositioningmodelandprovidesananalysisofitsaccuracy.Theresearchaimstoshedlightonthebenefitsandlimitationsofthiscombination,enablinguserstomakeinformeddecisionswhenutilizingGNSStechnologyforpositioningapplications.
1.Introduction
TheintroductionprovidesanoverviewofthesignificanceofGNSStechnologyinvariousindustriesandapplications.ItemphasizestheimportanceofaccuratepositioningandexplainsthemotivationbehindcombiningGPSandGLONASSforimprovedaccuracy.
2.GPSGLONASSCombinedPositioningModel
ThissectionpresentstheGPSGLONASScombinedpositioningmodel,whichintegratesthemeasurementsfrombothGPSandGLONASSsatellitestocalculatethepositionofareceiver.Ithighlightsthekeystepsinvolvedinthemodel,suchasdatacollection,satelliteselection,andpositionestimationalgorithms.
3.DataCollectionandPreprocessing
Thecollectionandpreprocessingofdataplayacrucialroleinensuringaccuratepositioning.Thissectiondiscussesthevariousfactorsthatmustbeconsideredduringdatacollection,includingreceivertype,antennaquality,andsatellitevisibility.Italsodescribesthenecessarypreprocessingstepstoremoveerrorsandbiasesfromthecollecteddata.
4.SatelliteSelection
Theselectionofsatellitesisacriticalstepinthecombinedpositioningmodel.Thissectionexplainsthecriteriaforsatelliteselection,includingsignalquality,geometry,andavailability.ItalsodiscussesthechallengesandtechniquesforoptimalsatelliteselectionintheGPSGLONASScombination.
5.PositionEstimationAlgorithms
DifferentalgorithmscanbeusedtoestimatethepositionwiththecombinedGPSGLONASSdata.Thissectionpresentsthecommonlyusedalgorithms,suchasleastsquares,weightedleastsquares,andKalmanfiltering.Itdiscussestheirstrength