A Machine Learning Based Vehicle Classification in Forward Scattering Radar
The Forward scattering radars (FSRs) are special types of Bistatic radars in which detected targets should exist in the narrow baseline to obtain their tracking at an angle of 180 degree. This gives the radar several features such as target classification which makes FSR more privileged in compariso...
Saved in:
| Main Authors: | Mohammed E. A. Kanona, Mohamad Y. Alias, Mohamed Khalafalla Hassan, Khalid S. Mohamed, Mutaz H. H. Khairi, Mosab Hamdan, Yassin A. Hamdalla, Omnia M. Osman, Ahmed M. O. Ahmed |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9795288/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Optimization Algorithm for Forward-Scatter Radar Network Node Deployment Based on BFGS and Improved NSGA-II
by: Yuqing Zheng, et al.
Published: (2025-04-01) -
Polarimetric Radio Occultation Forward Scattering Sensitivity to Hydrometeor Habit
by: Ramon Padullés, et al.
Published: (2025-07-01) -
Application of Ultra Wideband Signal with High Repetition Rate in Forward Scatter Multi-Static Radar System
by: E. A. Kolokoltsev, et al.
Published: (2017-04-01) -
Mössbauer forward scattering spectra of ferromagnets in radio-frequency magnetic field
by: A. Ya. Dzyublik, et al.
Published: (2012-03-01) -
Control of the Light Interaction in a Semiconductor Nanoparticle Dimer Through Scattering Directionality
by: R. Vergaz, et al.
Published: (2016-01-01)