Research on Interrupted Sampling and Forwarding Jamming Recognition Method Based on Rectangle Integral Bispectrum Feature

Interruptted sampling and forwarding jamming based on digital radio frequency memory (DRFM) technology is an important means of ECM at present. In this paper, a feature extraction method based on rectangular integral bispectrum is proposed to characterize the feature difference between target echo and jamming signal, and neural network and other methods are used to classify and recognize target signal and jamming signal. The simulation results show that the integrated bispectrum feature can distinguish the target signal and the jamming signal well, and improve the recognition effect.