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Journal Radioengineering №7 for 2015 г.
Article in number:
Combined synthesis adaptive to maneuver filter tracking
Keywords:
maneuvering target motion model
the principle Hamilton-Ostrogradsky
combined maximum principle
invariant immersion
the Kalman filter
Authors:
A.A. Kostoglotov - Dr. Sc. (Eng.), Professor, Department «Cybersecurity оf information systems», Don State Technical University (Rostov-on-Don). E-mail: kostoglotov@me.com
A.A. Kuznetsov - Ph. D. (Eng.), Associate Professor, Military Educational and Scientific Center «Zhukovsky-Gagarin Air Force Academy» (Voronezh). E-mail: smithaa@yandex.ru
S.V. Lazarenko - Ph. D. (Eng.), Dr. Sc. Candidate, Don State Technical University (Rostov-on-Don). E-mail: rh3311@mail.ru
B.M. Tsennih - Post-graduate Student, Rostov State Transport University. E-mail: rh2010@mail.ru
Abstract:
In the work of developing a new approach to the synthesis of the adaptive filter support based on the use of the apparatus combined maximum principle.
Procedure combined two-step synthesis involving the use of combined maximum principle for the construction of a universal model, adapted to maneuver the target, based on the solution of optimization problem in quasideterministic formulation and statistical synthesis filter support by the method of invariant embedding using the obtained model.
The statistical modeling analysis of the functioning of the designed filter when accompanied by a maneuvering target, moving along different trajectories. On the accuracy of the estimates developed filter was compared with the classical linear Kalman filter and Kalman filter with model Singer.
Developed filter through the sales a universal motion model is adapted to target maneuver and provides in comparison with traditional filters more effective criterion maximum accuracy - minimum computational costs maneuvering target tracking.
Pages: 95-103
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