Abstract.
A method has been proposed for implementing filtering algorithms for the state
parameters of observable objects from measurements obtained at different times
from different types of sensors, which makes it possible to eliminate the need
for dynamic adjustment of the structure and filter parameters for each incoming
measurement. Using the proposed approach makes it possible to simplify the
structure of complex filters and increase the stability of their operation.
Keywords: evaluation, filtering, extended Kalman filter,
integration.
References
1. Yarlykov M.S.,
Bogachev A.S., Merkulov V.I., Drogalin V.V. Radioelektronnye kompleksy navigatsii,
pritselivaniya I upravleniya vooruzheniem. Tom 1. Teoreticheskie osnovy. [Radio-electronic
complexes of navigation, aiming and weapon control. T.1. Theoretical basis]. Edited
by. M.S. Yarlykov. Moscow, Radio engineering Publ., 2012. (In Russian)
2. Merkulov V.I.,
Drogalin V.V., Kanashchenkov A.I., Bogachev A.S. and others. Aviatsionnye sistemy
radioupravleniya. Tom 1. Printsipy postroeniya sistem radioupravleniya. Osnovy sinteza
I analiza. [Aviation radio control systems. T. 1. Principles of building
radio control systems. Fundamentals of synthesis and analysis]. Edited by A.I.
Kanashchenkov and V.I. Merkulov. Moscow, Radio Engineering Publ., 2003.
(In Russian)
3. Merkulov V.I.,
Sadovsky P.A. The filtering algorithm for non-simultaneous incoming
measurements for dual-band radar. Radiotekhnika-Radio engineering. 2014,
No. 7. (In Russian)
4. Tikhonov V.I.,
Kharisov V.N. Statisticheskiy analiz i sintez radiotekhnicheskikh ustroystv i
sistem. [Statistical analysis and synthesis of radio engineering devices
and systems]. Moscow, Radio and Communication Publ., 1991. (In Russian)