典型文献
A new adaptive Kalman filter for navigation systems of carrier-based aircraft
文献摘要：
The features of carrier-based aircraft's navigation systems during the approach and land-ing phases are investigated.A new adaptive Kalman filter with unknown state noise statistics is pro-posed to improve the accuracy of the INS/GNSS integrated navigation system.The adaptive filtering algorithm aims to estimate and adapt the unknown state noise covariance Q in high dynamic conditions,when the measurement noise covariance R is assumed to be known empirically in advance.The new adaptive Kalman filter based on the innovation sequence and pseudo-measurement vector approach makes it more effective to estimate and adapt Q.The simulation results and semi-physical experiments show that the application of the proposed adaptive Kalman filter can guarantee a higher estimation accuracy of the state variables.
文献关键词：
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作者姓名：
Lifei ZHANG;Shaoping WANG;Maria Sergeevna SELEZNEVA;Konstantin Avenirovich NEUSYPIN
作者机构：
Department of Informatics and Control Systems,Bauman Moscow State Technical University,Moscow 101000,Russia;School of Automation Science and Electrical Engineering,Beihang University,Beijing 100083,China
文献出处：
引用格式：
[1]Lifei ZHANG;Shaoping WANG;Maria Sergeevna SELEZNEVA;Konstantin Avenirovich NEUSYPIN-.A new adaptive Kalman filter for navigation systems of carrier-based aircraft)[J].中国航空学报（英文版）,2022(01):416-425
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B类：
new,adaptive,Kalman,navigation,systems,carrier,aircraft,features,during,approach,land,phases,are,investigated,unknown,state,noise,statistics,improve,accuracy,INS,GNSS,integrated,filtering,algorithm,aims,estimate,covariance,dynamic,conditions,when,measurement,assumed,be,empirically,advance,innovation,sequence,pseudo,vector,makes,more,effective,simulation,results,semi,physical,experiments,show,that,application,proposed,can,guarantee,higher,estimation,variables
AB值：
0.505404
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