欢迎来到天天文库
浏览记录
ID:34818696
大小:191.37 KB
页数:6页
时间:2019-03-11
《Information Fusion in a Hybrid Tightly Coupled GPS-Dead-Reckoning Positioning System.pdf》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、2006IEEEInternationalConferenceonWeA01.5MultisensorFusionandIntegrationforIntelligentSystemsSeptember3-6,2006,Heidelberg,GermanyInformationFusioninaHybridTightlyCoupledGPS/Dead-ReckoningPositioningSystem.JamilaKacemi,SergeReboulandMohammedBenjellounLaboratoiredAn
2、alysedesSyst`emesduLittoralUniversit´eduLittoralCotedOpale50RueFerdinandBuisson,B.P.699,62228CalaisCedex,FranceEmail:serge.reboul@lasl.univ-littoral.frAbstractThesubjectofthisarticleisaboutstudyandavailabilityofthesystem(thecontinuouslocalization).Inrealisationof
3、atighthybridfilterforvehiclepositioningindensegeneraltheyarebasedonakinematicmodelofthevehicleurbanarea.InourapproachwefusedthemeasurementscomingdisplacementandareimplementedinaKalmanfilter.Inthefromthesensorsinahybridfilteratthepseudo-rangeslevel.maskingcase,thepos
4、itionisobtainedfromthekinematicTheproposedfiltercombinestheobservables(measurements)ofphaseandcodeofaGPSreceiverwiththemeasurementsofmodel.Inthepresenceofcanyoneffectsormultipaths,anodometerandagyrometer.Wedescribeinthisarticlethethefiltersmoothesthemeasuredpositio
5、nsbythepositionsdesignofthefusionfilterinspiredofthedistributedtracktoobtainedwiththekinematicmodel.trackKalmanfilterarchitecture.Inourapproachthepseudo-Wedefinetwoapproachesforthepositioncalculation,orrangespredictions,constructwiththephasemeasurementsofthelooselyc
6、ouplednavigationandtightnavigation[3].IntheGPSandtheDead-reckoningmeasurementssystem,arefused.ThefusedpredictionsarethemcorrectedwiththeGPScodeloosenavigationthepositionsprovidedbythekinematicmeasurementsofthepseudo-ranges.Weusetheclassicalsnapshotmodelarecoupled
7、inafilterwiththeGPSdata.Intightnavi-leastsquaresestimationtechniquetocalculatethepositionwithgation,thepseudo-rangesmeasurementsarecoupledwiththeirtheestimatedpseudo-ranges.Wepresentinthisarticledifferentevolutionmodels(oftenamodelwithaconstantacceleration).simula
8、tionsresultsobtainedinarealdenseurbancontext.WeThenweuseadirectleastsquaresmethodtocalculatethepo-showthatthetighthybridfilterweproposegivesalocationatleastaspr
此文档下载收益归作者所有