Noncoherent integration of HRR RADAR signals for detection of fluctuating targets in non Gaussian clutter using the hough transform

In a HRR RADAR where the size of target is larger than wavelength of the RADAR and RADAR range resolution cells, and target returns from different scattering centres of the target produce different patterns in successive scans, make application of traditional methods of clutter suppression inefficient. In this paper, we propose another approach for noncoherent integration of HRR pulses based on the Hough transform which employs the slope-intercept parameter space. By using this method, we do not need to separate clutter from signal and then perform integration. In fact in this method pulse integration, and clutter suppression are done simultaneously. In this paper we investigate the performance of Hough transform-based detector for HRR RADAR signals, in the presence of non Gaussian distributed clutter for non-fluctuating and four types of Swerling targets. The performance of target detection of Hough transform-based detector is analyzed through Monte- Carlo simulation runs.