Forward scatter radar detection and estimation of marine targets

In this paper we research original structure of the Bistatic Forward Scatter Radar detector and signal parameter estimator of the marine targets at the background of a sea clutter. The time duration, power, energy and the maximum of the Doppler frequency for MISL and other boat are estimate for many trails. These results will make possible to be used for the data mining classification with the WEKA software. We propose and original structure of the FSR Rough Target Classifier, of the marine targets at the background of a sea clutter. Using the CFAR processor approach for Target detection and parameter estimation of the first minimum and maximum frequency from Power Spectrum Density, we receive the signal parameters in the FSR in the real time. On base this signal parameters, we calculate target parameters velocity and length from two equations, for velocity of targets in bistatic systems and for length of FSR target propose by Cherniakov. These parameters, length and velocity, we may to use for rough targets classification, because they consists all information about the boat. The research algorithm is investigated on the base of real data records that have been obtained by the team from Birmingham University and Sofia University using Forward Scattering Radar.