Robust Gauss-Jacobi Combinatorial Adjustment
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Graphical Abstract
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Abstract
Traditionally,theprocessofgrosserrordetectioniscloselyassociatedwithparameteresti mator.Unreliableinitialparametersmaycausetheprocessofgrosserrordetectiontofail,andviceversa.Inthispaper,themixednormaldistributionofobservationandthebinomialdistributionofgrosserrornumberareintroducedbyusingtheprioroccurrencefrequencyofgrosserror;Thepaperdiscussesthepropertiesofgross errorclusterscomposedofbasicsolutions,andfurtherproposearo bustGauss Jacobicombinatorialadjustmentmethodonthezero gross errorcluster.Atlast,thepro posedmethodisappliedtoGPSpseudo rangingpositioning.showthattheproposedmethodisrobustandhighefficientevengrosserroroccursonleverageobservation.
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