2D image fuzzy deconvolution and scattering centre detection

A new innovative technique based on fuzzy deconvolution for scattering centre detection (F-SCD) is proposed together with its implementation in FPGA for real-time deployment in UAV and automotive collision avoidance application. F-SCD emulates the human interpretation of radar images using fuzzy measurement of features of the radar Point Spread Function (PSF) differently from other classic detection techniques. The first stage of F-SCD detects signals from noise using an image oversampling and binary integration technique. The second stage uses a fuzzy description of the radar PSF in order to discriminate among scatterers and side lobes in the radar image. The method has been implemented showing high POD, low FAR and high rejection of ambiguities even with poor time-space variant PSF.