Software Implementation of Ex-CFAR Detector and Determination of Optimum Value for β Parameter in Marine Environment

Presence of inhomogeneous environment and interfering targets in practical radar systems, cause a reduction at CA-CFAR performance in either detection probability of target or false alarm ratio of system. Hence EX-CFAR detector implies a soft thresholding, in which the excision parameter (β) plays a key role to determine a criterion for eliminating unordinary values at window of noise power estimation. Consequently in this paper the excision parameter have been surveyed and analyzed for different values of false alarm probabilities and the optimum ones are extracted. Since the considered radar of this paper was medium range poor resolution radar system, probability density function of K has been assumed in clutter modeling.Accordingly the shape and scale parameters are estimated for the assumed method. Consequently the performance of EX-CFAR implying the estimated values is evaluated and compared with CA-CFAR in circumstances of facing with 2, 3 or 4 interfering targets using MATLAB simulations. In these simulations, mono pulse detection was deliberated.