Automatic target detection and speed estimation using forward scatter radar sensor

Forward Scatter Radar (FSR) is a subclass of the bistatic radar, where the received target signal occurs mainly due to the direct path signal shadowing by the target body. Employing a separate deployed transmitter and receiver at considerable distance, the FSR can achieve a number of advantages, such as enhanced radar cross section, inherent detection ability of stealth target, reasonably low complexity design of system, more than the conventional monostatic radar. All of these features are attractive to the modern remote sensing systems. This thesis presents the research results of the detection and speed estimation of the ground target in FSR, which is a vital procedure for automatic targets classification. The hardware was designed and assembled by the Microwave Integrated Systems Laboratory (MISL), University of Birmingham. The experimental data used in this thesis have been collected from real field environments at multiple locations and from various targets. The complex automatic target detection and speed estimation algorithm were integrated to achieve higher accuracy. The main problem investigated in this research and the appropriate results are dedicated to automatic target speed estimation in complex FSR operational scenario. The improved and originally proposed algorithms are discussed and shown throughout the chapters in great detail. The measurements are implemented in large load of work and the database is created for the validation of these algorithms.