Performance of Hough Detectors in Presence of Randomly Arriving Impulse Interference

Abstract

In the following paper are investigated several types of Hough detectors with CFAR processors in order to choose the most efficient one in the presence clatter and randomly arriving impulse interference environment. The Hough detector with fixed threshold is compared to other five types of Hough detectors. These are one and two-dimensional Hough CFAR detectors - a Hough CA CFAR (Cell Average Constant False Alarm Rate) detector, a Hough EXC (Excision) CFAR detector, a Hough CFAR BI (Binary Integration) detector, a Hough EXC CFAR BI (Excision Constant False Alarm Rate with Binary Integration) detector and a Hough API (Adaptive censoring Post detection Integration) CFAR detector. The achieved results reveal that the Hough detector with the API CFAR algorithm is the most effective. The research work is performed in MATLAB computational environment.