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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v33.i5-8.240
10 pages

Variational-Minimax Principle for Estimation of Goniometrical Systems under Expected Uncertainty Conditions

Yuriy G. Bulychev
Rostov Military Institute of Rocket Forces, Rostov-on-Don
Igor V. Burlai
Rostov Military Institute of Rocket Forces
Anatoliy P. Manin
Rostov Military Institute of Rocket Forces, Russia
Yaroslav V. Kritskiy
Rostov Military Institute of Rocket Forces, Russia

ABSTRAKT

Within the frame of the optimal minimax statement the combined (two-stage) method for estimating object location is developed. This method is based on goniometrical system, which consists of several meters. On the first stage in the nonlinear version we solved the problem of finding initial (crude) estimate as well as its correlation matrix. The obtained data is used for the second stage in a linear filter for construction of the desired (improved) estimate.