Hough detector with an OS CFAR processor in presence of randomly arriving impulse interference

In this paper we present the research results concerning the performance of Hough detector with an Order Statistic False Alarm Rate (OS CFAR) processor, in the presence of randomly arriving impulse interference with Poisson distributed flow and Raleigh amplitude distribution. In the presented contribution are investigated two types of Hough detectors with CFAR processors, in order to choose the most efficient one in the presence of clutter and randomly arriving impulse interference. The Hough detector with OS CFAR processor is compared to Hough detector with CA CFAR processor. The achieved results reveal that the Hough detector with the OS CFAR algorithm is more effective. The experimental results are obtained by numerical analysis. We have studied the detection probability and the average decision threshold of Hough detector with two types of CFAR processors. The results show that the use of this structure of Hough detector allows drastically reducing the detectability losses in comparison to the conventional OS CFAR detector and that it is effective for small signal-to-noise ratios. The research work is performed in MATLAB computational environment. The obtained analytical results for Hough detector with an Order Statistic CFAR processor can be used in both, radar and communication receiver networks.