Hough detector analysis by means of Monte Carlo simulation approach

In the present paper, an algorithm for target detection that exploits the Hough transform is proposed. The target is detected by the Hough detector. The effectiveness of the algorithm proposed is formulated in terms of a quality parameter - the probability of detection. The quality parameter is estimated using the Monte Carlo simulation approach. We compare the results of detection achieved by both analytical and simulational approaches. The results are obtained for Swerling II target model in conditions of randomly arriving impulse interference.