Application of Artificial Neural Network for Clutter Rejection
Автор: Priyabrata Karmakar, Sourav Dhar, Mithun Chakraborty, Tirthankar Paul
Журнал: International Journal of Computer Network and Information Security(IJCNIS) @ijcnis
Статья в выпуске: 10 vol.4, 2012 года.
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This paper deals with application of Artificial Neural Network (ANN) for Radar Clutter rejection, function approximation method of supervised ANN is applied here using back propagation algorithm. The database used for training and testing the ANN has been collected from simulating a moving vehicle in MATALAB(version 7.9) to obtain the RCS values at range and cross-range profiles. This work is validated by comparing received signal after clutter rejection with the received signal in no clutter condition.
Artificial Neural Networks, Radar, Clutter
Короткий адрес: https://sciup.org/15011128
IDR: 15011128
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