An Active Deception Combined Jamming Identification Method Based on Waveform Modulation

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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Publication Details

Journal
Signals
Published
2026-04-07
DOI
https://doi.org/10.3390/signals7020035
Primary Topic
Wireless Signal Modulation Classification
Type
article
Field-Weighted Citation Impact
0.00

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article

An Active Deception Combined Jamming Identification Method Based on Waveform Modulation

Nan Jiang, Yong Li, Ping Wang, Chen Pang et al.
Signals
Wireless Signal Modulation Classification
article

An Active Deception Combined Jamming Identification Method Based on Waveform Modulation

Nan Jiang, Yong Li, Ping Wang, Chen Pang, Fulai Wang, Zhanling Wang, Lei Zhang
article en

Abstract

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.

SignalsVol. 7(2)
Central South University (CN), Sun Yat-sen University (CN), National University of Defense Technology (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 30%
Wireless Signal Modulation Classification
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