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Proceedings Paper

Selection of GRNN network parameters for the needs of state vector estimation of maneuvering target in ARPA devices
Author(s): Andrzej Stateczny; Witold Kazimierski
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Paper Abstract

The article presents the results of research on the effect of selecting various parameters of a neural filter based on GRNN network, applied for the state vector estimation of a maneuvering target in ARPA devices. There was tested the effect of teaching sequence length, the application of successive estimating stages and the changes of smoothing factor on the state vector of the maneuvering target. A statistical response of filters was found by means of the Monte Carlo simulation method.

Paper Details

Date Published: 26 April 2006
PDF: 6 pages
Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61591F (26 April 2006); doi: 10.1117/12.675081
Show Author Affiliations
Andrzej Stateczny, Maritime Univ. of Szczecin (Poland)
Witold Kazimierski, Maritime Univ. of Szczecin (Poland)


Published in SPIE Proceedings Vol. 6159:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV
Ryszard S. Romaniuk, Editor(s)

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