DocumentCode :
3673323
Title :
Nonlinear estimation with transformed cubature quadrature points
Author :
Abhinoy Kumar Singh;Shovan Bhaumik;Rahul Radhakrishnan
Author_Institution :
Department of Electrical Engineering, Indian Institute of Technology Patna, Bihar 800013, India
fYear :
2014
Firstpage :
428
Lastpage :
432
Abstract :
An ongoing work, proposing a modified method to solve the nonlinear filtering problems is presented in this paper. The proposed method, which uses orthogonally transformed cubature quadrature points, is an extension of cubature quadrature Kalman filter (CQKF). The modified filtering method, developed here is regarded as transformed cubature quadrature Kalman filter (TCQKF). The computational load of TCQKF remains similar to the ordinary CQKF, while its accuracy improves for the systems having dimension higher than two. The proposed filter is simulated for a nonlinear filtering problem and the results are compared with the existing cubature based filters.
Keywords :
"Kalman filters","Mathematical model","Estimation","Accuracy","Time measurement","Probability density function","Nonlinear dynamical systems"
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2014 IEEE International Symposium on
ISSN :
2162-7843
Type :
conf
DOI :
10.1109/ISSPIT.2014.7300627
Filename :
7300627
Link To Document :
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