Artificial neural network approach in radar target classification
Problem statement: This study unveils the potential and utilization of Neural Network (NN) in radar applications for target classification. The radar system under test is a special of it kinds and known as Forward Scattering Radar (FSR). In this study the target is a ground vehicle which is represen...
Main Authors: | Ibrahim, N. K., Raja Abdullah, Raja Syamsul Azmir, Saripan, M. Iqbal |
---|---|
Format: | Article |
Language: | English |
Published: |
Science Publications
2009
|
Online Access: | http://psasir.upm.edu.my/id/eprint/13277/1/Artificial%20neural%20network%20approach%20in%20radar%20target%20classification.pdf |
Similar Items
-
Neural network based for automatic vehicle classification in forward scattering radar
by: Raja Abdullah, Raja Syamsul Azmir, et al.
Published: (2007) -
RCS classification on ground moving target using LTE passive bistatic radar
by: Abdul Aziz, Noor Hafizah, et al.
Published: (2016) -
Analysis on target detection and classification in LTE based passive forward scattering radar
by: Raja Abdullah, Raja Syamsul Azmir, et al.
Published: (2016) -
Target detection in forward scattering radar
by: Mohamed, Mohamed Khalaf Alla Hassan, et al.
Published: (2009) -
Target prediction in forward scattering radar
by: Raja Abdullah, Raja Syamsul Azmir, et al.
Published: (2007)