A Separation Algorithm for Interrupted Sampling Repeater Jamming based on Blind Source Separation
Siqi Zhang, Lili Fang · 2022
Interrupted-sampling repeater jamming is a coherent jamming designed for linear frequency modulation (LFM) signal with both deception and suppression effects. Most of the existing suppression methods require time-frequency analysis or design of specific transmission waveforms and filters, which are not adaptive when the parameters of jamming changed in a coherent processing interval (CPI). In this article, a new algorithm is proposed with the idea of blind source separation to separate target and jamming using their spatial difference, and the return signals of target can be reconstructed by subspace projection which could be used for angle estimation. When the angle difference between the jamming and target is greater than 1/14 of the main beam width, the signal of the target can be effectively separated from the jamming with the jamming-to-noise ratio (JNR) greater than 50dB, and the signal-to-noise ratio (SNR) is greater than 13dB. The simulation results show the effectiveness of this algorithm.