Cell Averaging Constant False Alarm Rate Detector with Hough Transform in Randomly Arriving Impulse Interference
Christo A. Kabakchiev, Lyubka Doukovska, Ivan G. Garvanov · 2006
In this paper we compare the efficiency of a Cell Average Constant False Alarm Rate (CA CFAR) detector and a Hough detector with average randomly arriving impulse interference. We assume that the target echo signal fluctuates according to a Swerling II signal model; the randomly arriving impulse interference is with a Poisson distribution of the probability for appearance and a Rayleigh distribution of the amplitudes. The profits (losses) are determined as a statistical estimation by means of the probability characteristics of both types of detectors, obtained in Matlab. The profits of the Hough detectors are calculated for different values of the probability for appearance of randomly arriving impulse interference with average length in the cells in range. Our results show that Hough transform is effective in conditions of decreasing randomly arriving impulse interference.