Title :
The use of fuzzy neural networks for estimating the parameters of the K-distribution
Author :
Alioua, Chehla ; Soltani, Faouzi
Author_Institution :
Dept. d´´Electron., Univ. Mentouri Constantine, Constantine, Algeria
Abstract :
Recently, artificial neural network have been used in radar signal detection. In this paper, a fuzzy neural approach for estimating the parameters of the K distribution is proposed. We use the back propagation (BP) algorithm for the training process. We obtain improved results compared with those obtained by the method based on higher order and fractional moments for small sample sizes.
Keywords :
backpropagation; fuzzy neural nets; radar computing; radar detection; K-distribution; artificial neural network; backpropagation algorithm; fuzzy neural networks; parameter estimation; radar signal detection; training process; Artificial neural networks; Clutter; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Neurons; Parameter estimation; Radar; Shape; Signal detection;
Conference_Titel :
Advances in Computational Tools for Engineering Applications, 2009. ACTEA '09. International Conference on
Conference_Location :
Zouk Mosbeh
Print_ISBN :
978-1-4244-3833-4
Electronic_ISBN :
978-1-4244-3834-1
DOI :
10.1109/ACTEA.2009.5227932
