Jamming pattern identification is a crucial prerequisite for countering jamming. Combined jamming exhibits complex structures and diverse forms, making it difficult for traditional identification methods to extract suitable and stable features for effective discrimination. To address this challenge, this paper proposes a combined jamming identification method based on joint modulation of linear frequency modulation, phase coding and phase coding frequency modulation (LFM-PC-PCFM) waveforms. Building upon the time–frequency entropy features of combined interference, this method enhances the separability of jamming features in the radar-transmitted waveform dimension. The experiment employed the SVM classification algorithm based on particle swarm optimization for validation. Experiments demonstrate that the combined jamming recognition method under LFM-PC-PCFM waveform modulation achieves higher and more stable recognition accuracy than traditional LFM single-waveform modulation under jamming-to-noise ratios ranging from −10 dB to 30 dB.
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Zhou et al. (Tue,) studied this question.
www.synapsesocial.com/papers/69d893a86c1944d70ce04a62 — DOI: https://doi.org/10.3390/signals7020035
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
Yanxi Zhou
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Signals
Sun Yat-sen University
Central South University
National University of Defense Technology
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