A Modified RBF Neural Network and Its Application in Radar

Authors:
Yang Jun;Ma Xiaoyan;Lu Qianhong;Liu Bin;Deng Bin
Affiliations:
Air Force Radar Academy, Wuhan, 400019, China;Air Force Radar Academy, Wuhan, 400019, China;Air Force Radar Academy, Wuhan, 400019, China;Air Force Radar Academy, Wuhan, 400019, China;Air Force Radar Academy, Wuhan, 400019, China
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Year:
2007

Citing 4
Cited 0

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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.