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 …

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 …

The radio hologram signal (RHS) extraction is the pre‐condition of shadow inverse synthetic
aperture radar (SISAR) imaging in forward scatter radar (FSR). However, for a ground …

A combination of Z-score and Neural Network is use as part of the FSR vehicles
classification system. The classification performance of different inputs to NN is evaluated …

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 …

this paper considers a signal processing approach in forward scatter radar, which is an
equivalent to the more traditional Inverse Synthetic Aperture. Both the approach and …

This paper starts with description of a tropical foliage clutter measurements conducted at
Forest Research Institute Malaysia (FRIM) using Forward Scatter Radar (FSR) with very high …

The clutter model for ultra high frequency (UHF) band for forward scatter radar (FSR) is
developed in this paper using Log-Logistic distribution. The model follows maximum …

Illegal logging is a continuous environment issue not just in Malaysia but all over the world. It
threatens the environmental sustainability, shrinks state government's income and …

In this paper we consider a modified sub-optimal signal processing algorithm for marine
target detection in a Forward Scatter Radar (FSR) system. The algorithm is based on a …