本文選題：cubature　切入點：rule　出處：《Journal of Systems Engineering and Electronics》2017年03期

【摘要】：A new Gaussian approximation nonlinear filter called generalized cubature quadrature Kalman filter(GCQKF) is introduced for nonlinear dynamic systems. Based on standard GCQKF,two extensions are developed, namely square root generalized cubature quadrature Kalman filter(SR-GCQKF) and iterated generalized cubature quadrature Kalman filter(I-GCQKF). In SR-GCQKF,the QR decomposition is exploited to alter the Cholesky decomposition and both predicted and filtered error covariances have been propagated in square root format to make sure the numerical stability. In I-GCQKF, the measurement update step is executed iteratively to make full use of the latest measurement and a new terminal criterion is adopted to guarantee the increase of likelihood. Detailed numerical experiments demonstrate the superior performance on both tracking stability and estimation accuracy of I-GCQKF and SR-GCQKF compared with GCQKF.
[Abstract]:A new Gaussian approximation nonlinear filter called generalized cubature quadrature Kalman filter(GCQKF) is introduced for nonlinear dynamic systems. Based on standard GCQKF,two extensions are developed, namely square root generalized cubature quadrature Kalman filter(SR-GCQKF) and iterated generalized cubature quadrature Kalman filter(I-GCQKF). In SR-GCQKF,the QR decomposition is exploited to alter the Cholesky decomposition and both predicted and filtered error covariances have been propagated in square root format to make sure the numerical stability. In I-GCQKF, the measurement update step is executed iteratively to make full use of the latest measurement and a new terminal criterion is adopted to guarantee the increase of likelihood. Detailed numerical experiments demonstrate the superior performance on both tracking stability and estimation accuracy of I-GCQKF and SR-GCQKF compared with GCQKF.
【作者單位】： School
【基金】：supported by the National Natural Science Foundation of China(61473227;11472222) the Aerospace Technology Support Fund of China(2014-HT-XGD) the Natural Science Foundation of Shaanxi Province(2015JM6304) the Aeronautical Science Foundation of China(20151353018)
【分類號】：TN713

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本文編號：1684891