Active Learning For Hyperspectral Image Classification Via Hypergraph Neural Network

Although the multiple-phase-sectionalized-modulation (MPSM) jamming can produce barrage jamming effects in a local range, the range of barrage jamming can't be controlled. Against this disadvantage, an improved MPSM jamming method based on a non-linear frequency-modulate (NLFM) signal, i.e., MBN, is proposed in this paper. The MBN realizes the control of the jamming range in the fast time domain based on the controllable time-frequency structure of the NLFM signal. To generate the desired NLFM signal, the shaping factor is defined. Subsequently, the feasibility and effectiveness of the MBN jamming method are confirmed by simulation experiments.