简介：Thegenerationofhigh-resolutionDEMfrominterferometricSARhasresultedintheneedforaccurateandefficientmethodsof2-dimensionalphaseunwrapping.Inthispaper,wegiveabriefdescriptionofthemathematicalbaseofphaseunwrapping,andadetaileddescriptionoftheunweightedandweightedleastsquarephaseunwrappingalgorithm.Thenouralgorithmcombiningwiththeweightedleastsquarephaseunwrappingguidedbythebranch-cutsderivedfromGoldstein’salgorithmandcoherencecoefficientmapderivedfromtheINSARdataisprovided.InourexperimentwewritesubroutinesoftheGoldstein’sbranch-cutalgorithm,unweightedandweightedleastsquarephaseunwrappingalgorithmaswellasouralgorithm,andconstructasmallexperimentsystemtoresolvethephaseunwrappingproblem.FinallywetestouralgorithmonsomeINSARdata.Theresultshowsthatourapproachcanobtainunwrappedphasecorrectlyandefficiently.

简介：放精确的GPS被GPS搬运人阶段观察的各种各样的错误来源，和传统的联合影响有他们的自己的限制例如宽小巷，狭窄小巷并且ionospheric免费的联合。获得最佳的放精确，一个新线性组合方法通过放的精确的GPS多频率搬运人阶段联合方程，和影响的变化协变性(VCV)被探讨与变化误差传播定律推出的观察错误被分析。为与一仅仅搬运人阶段联合放的高精确，最佳的联合方法被基线分辨率的一个例子与60km长度推出并且进一步验证了。结果显示这个方法最简单，并且放的精确是最好。因此，在各种各样的远处为不同精确要求放，快为长基线是有用的。

简介：DuetothedifferentsignalfrequenciesfortheGLONASSsatellites,thecommonly-useddouble-differencingprocedureforcarrierphasedataprocessingcannotbeimplementedinitsstraightforwardform,asinthecaseofGPS.Inthispaperanoveldataprocessingstrategy,involvingathree-stepprocedure,forintegratedGPS/GLONASSpositioningisproposed.Thefirstispseudo-range-basedpositioning,thatusesdouble-differenced(DD)GPSpseudo-rangeandsingle-differenced(SD)GLONASSpseudo-rangemeasurementstoderivetheinitialpositionandreceiverclockbias.ThesecondisformingDDmeasurements(expressedincycles)inordertoestimatetheambiguities,byusingthereceiverclockbiasestimatedintheabovestep.ThethirdistoformDDmeasurements(expressedinmetricunits)withtheunknownSDintegerambiguityfortheGLONASSreferencesatelliteastheonlyparameter(whichisconstantbeforeacycleslipoccursforthissatellite).Areal-timestochasticmodelestimatedbyresidualseriesoverpreviousepochsisproposedforintegratedGPS/GLONASScarrierphaseandpseudo-rangedataprocessing.Otherassociatedissues,suchascycleslipdetection,validationcriteriaandadaptiveprocedure(s)forambiguityresolution,isalsodiscussed.Theperformanceofthisdataprocessingstrategywillbedemonstratedthroughcasestudyexamplesofrapidstaticpositioningandkinematicpositioning.Fromfourexperimentscarriedouttodate,theresultsindicatethatrapidstaticpositioningrequires1minuteofsinglefrequencyGPS/GLONASSdatafor100%positioningsuccessrate.Thesingleepochpositioningsolutionforkinematicpositioningcanachieve94.6%successrateovershortbaselines(＜6km).