Quasi-optimal signal processing in ground Forward Scattering Radar

A signal processing algorithm for ground target detection using forward scattering radar (FSR) is presented in this paper. The effectiveness of the algorithm is shown using both simulated and experimental data. The algorithm is based on the matched filtering approach, where the correlation between the received signal and a set of pre-defined reference functions is calculated. The maximum of the correlation function indicates the estimated target parameters. The algorithm compresses the target signal, increasing signal-to-noise ratio, and allows identification of target speed and its position relative to the FSR geometry.