CFAR BI technique for Secondary Surveillance Radar

In this paper we study some standard problems of SSR (secondary surveillance radar), relating to improving the detection performance of the conventional SSR and Mode S replies in the SSR FRUIT environment. We present the algorithm that consists of a conventional two-dimensional CFAR BI processor combined with the estimator of the FRUIT parameters, which is necessary for automatically selecting of the appropriate scale factor. This robust algorithm guarantees the maintenance of the constant false alarm rate in the FRUIT environment. In the study, we used Monte Carlo simulations for calculating the two detection characteristics - the probability of detection and the probability of false alarm. The results obtained show that the proposed adaptive binary integration (ABI) CFAR processor improves detecting the conventional SSR and mode S replies in the SSR FRUIT environment.