Robust Real Time Jamming Detection Algorithm for 2-D Surveillance Radar

A jamming detection algorithm for surveillance radar is proposed. The algorithm applies the features of order statistics constant false alarm rate (OS-CFAR) to the power spectral density (PSD) of the received signal which is not done before. The proposed algorithm shows a better probability of jamming detection compared to other jamming detection algorithms. Furthermore, it can be performed in real time because it does not need to receive a large number of samples as in various traditional CFAR algorithms to detect the presence of jamming. The jamming detection performance of the proposed algorithm in the presence of different jamming techniques is presented using actual received data from two-dimensional (2-D) surveillance radar.