ISSN 1991-2927
 

ACP № 4 (58) 2019

Parametric Identification of an Error Model for Inertial Navigation Systems

Innokenty Vasilyevich Semushin, Ulyanovsk State University, Doctor of Engineering, Professor at the Chair 'Information Technology' of Ulyanovsk State University; author of papers, monographs; holds patents for inventions; is interested in diagnostics, filtering and control in stochastic systems under uncertain conditions. [e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. ]I. Semushin,

Yulia Vladimirovna Tsyganova, Ulyanovsk State University, Candidate of Physics and Mathematics, Associate Professor at the Chair 'Information Technology' of Ulyanovsk State University; author of papers, a monograph, text-books and tutorials; is interested in parametric identification of stochastic systems, adaptive filtering, development of numerically efficient algorithms of identification and adaptation in stochastic systems. [e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. ]Y. Tsyganova

Parametric Identification of an Error Model for Inertial Navigation Systems 26_3.pdf

The paper deals with a solution to the problem of parametric identification for an error model of inertial navigation system (INS) using the Auxiliary Performance Index (API) method. It compares the two approaches to the API building: identification of steady-state filter parameters and identification of system-model parameters taking into account the dynamics of Riccati equations in Kalman filter. The authors also give comparison characteristics of the two approaches and results of the computational experiments.

Parametric identification, adaptive filtering, auxiliary performance index (api), kalman filter.

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