[PDF][PDF] A Review of Ground Target Detection and Classification Techniques in Forward Scattering Radars.

MEA Kanona, MG Hamza, AG Hassan… - … Technology & Applied …, 2018 - researchgate.net
This paper presents a review of target detection and classification in forward scattering radar
(FSR) which is a special state of bistatic radars, designed to detect and track moving targets …

A machine learning based vehicle classification in forward scattering radar

MEA Kanona, MY Alias, MK Hassan… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

Performance analysis of hybrid pre-processing techniques of ground target classification in FSR using neural network

MEA Kanona, AM Ahmed, ME Mirghani… - 2020 International …, 2021 - ieeexplore.ieee.org
This paper presents an enhanced pattern recognition neural network classifier for ground
target classification in FSR. The hybrid enhanced model is based on a different combination …

Development of FSR Micro-Sensor Network

MHAM Bardiri, NEA Rashid, ZI Khan… - … on Radar, Antenna …, 2018 - ieeexplore.ieee.org
This paper presents the development of a smaller scale Forward Scatter Radar (FSR)
sensor for a wireless sensor network which enables the target's information to be transmitted …

[PDF][PDF] A Machine Learning Based Vehicle Classification in Forward Scattering Radar

YA HAMDALLA, OM OSMAN, AMO AHMED - academia.edu
ABSTRACT 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 …

[引用][C] Wavelet and neural network based ground target classification in forward scattering radar

AMO AHMED - 2018