Selection of GRNN network parameters for the needs of state vector estimation of maneuvering target in ARPA devices

Andrzej Stateczny; Witold Kazimierski

doi:10.1117/12.675081

26 April 2006 Selection of GRNN network parameters for the needs of state vector estimation of maneuvering target in ARPA devices

Andrzej Stateczny, Witold Kazimierski

Author Affiliations +

Proceedings Volume 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV; 61591F (2006) https://doi.org/10.1117/12.675081
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 2005, Wilga, Poland

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.

Citation Download Citation

Andrzej Stateczny and Witold Kazimierski "Selection of GRNN network parameters for the needs of state vector estimation of maneuvering target in ARPA devices", Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61591F (26 April 2006); https://doi.org/10.1117/12.675081

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