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1 个结果
  • 简介:Toimprovethereliabilityandaccuracyoftheglobalpositioningsystem(GPS)/microelectromechanicalsystem(MEMS)inertialnavigationsystem(INS)integratednavigationsystem,thispaperproposestwodifferentmethods.Basedonwaveletthresholddenoisingandfunctionalcoefficientautoregressive(FAR)modeling,acombineddataprocessingmethodispresentedforMEMSinertialsensor,andGPSattitudeinformationisalsointroducedtoimprovetheestimationaccuracyofMEMSinertialsensorerrors.ThenthepositioningaccuracyduringGPSsignalshortoutageisenhanced.ToimprovethepositioningaccuracywhenaGPSsignalisblockedforlongtimeandsolvetheproblemofthetraditionaladaptiveneuro-fuzzyinferencesystem(ANFIS)methodwithpoordynamicadaptationandlargecalculationamount,aself-constructiveANFIS(SCANFIS)combinedwiththeextendedKalmanfilter(EKF)isproposedforMEMS-INSerrorsmodelingandpredicting.Experimentalroadtestresultsvalidatetheefficiencyoftheproposedmethods.

  • 标签: 组合导航系统 GPS信号 测量精度 信号中断 车辆导航 自适应神经模糊推理系统