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A Modified RBF Neural Network and Its Application in Radar.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Rangan, C. Pandu
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Derong Liu
Shumin Fei
Zengguang Hou
Huaguang Zhang
Changyin Sun
Source :
Advances in Neural Networks: ISNN 2007 (9783540723943); 2007, p981-987, 7p
Publication Year :
2007

Abstract

Aiming at the problem of parameter estimation in radar detection, a modified RBF neural network is proposed to estimate parameter accurately because of its good approximation ability to random nonlinear function and quick convergence speed. Two classical detection methods, which widely used in radar field, are listed in this paper, and their corresponding parameters are estimated with modified RBF neural network. Theoretical analysis and numerical results both show that the proposed method has good parameter estimation accuracy and quick convergence speed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540723943
Database :
Complementary Index
Journal :
Advances in Neural Networks: ISNN 2007 (9783540723943)
Publication Type :
Book
Accession number :
33155094
Full Text :
https://doi.org/10.1007/978-3-540-72395-0_120