Use of Tikhonov Regularization to Improve the Accuracy of Position Estimates in Inertial Navigation
Author(s) -
Tuukka Nieminen,
Jari Kangas,
Lauri Kettunen
Publication year - 2011
Publication title -
international journal of navigation and observation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.176
H-Index - 18
eISSN - 1687-6008
pISSN - 1687-5990
DOI - 10.1155/2011/450269
Subject(s) - tikhonov regularization , regularization (linguistics) , inertial frame of reference , inverse problem , finite element method , computer science , position (finance) , inertial navigation system , mathematical optimization , algorithm , mathematics , artificial intelligence , mathematical analysis , physics , classical mechanics , finance , economics , thermodynamics
Inertial navigation problems are often understood as initial value problems. However, there are many applications where boundary value problems naturally arise. In these situations, it has been shown that the finite element method can be efficiently used to compute accurate position and velocity estimates. We will propose that finite element method complemented with Tikhonov regularization—a basic tool for inverse problems—is a powerful combination for further accuracy improvements. The proposed method provides a straightforward way to exploit prior information of various types and is subject to rigorous optimality results. Use and accuracy of the proposed method are demonstrated with examples
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