Results 11 to 20 of about 20,008 (265)
Research on Multi-Feature Fusion and Lightweight Recognition for Radar Compound Jamming [PDF]
SensorsTo recognize radar compound jamming under complex electromagnetic environments, this paper proposes a lightweight multi-feature fusion network for compound jamming recognition.
Weiyu Zha +3 more
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Radar Compound Jamming Recognition Based on Image Segmentation and Fused Attention Residual Network [PDF]
SensorsWith the increasing complexity of modern electromagnetic environments, radar systems are not only affected by single jamming signals but also by compound jamming, which consists of additive combinations of multiple jamming types.
Peishan Li, Jian Yang, Jiaao Lin
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Remote Sensing, 2023 In the complex battlefield electromagnetic environment, multiple jamming signals can enter the radar receiver simultaneously due to the development of jammers and modulation technology.
Yunyun Meng, Lei Yu, Yinsheng Wei
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Compound Jamming Recognition Based on a Dual-Channel Neural Network and Feature Fusion
Remote SensingJamming recognition is a significant prior step to achieving effective jamming suppression, and the precise results of the jamming recognition will be beneficial to anti-jamming decisions. However, as the electromagnetic environment becomes more complex,
Hao Chen +6 more
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A jamming risk warning model for TBM tunnelling based on Bayesian statistical methods [PDF]
Scientific ReportsThis study presents a comprehensive jamming risk assessment framework for Tunnel Boring Machine (TBM) jamming accidents during excavation. Using real-time boring data and Bayesian conditional probability, a novel risk warning model is proposed to enhance
Shuang-jing Wang +3 more
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IET Radar, Sonar & NavigationRecognising suppressive jamming signals is crucial for radar systems to counteract this type of jamming, highlighting the importance of research in this area.
Minghua Wu +5 more
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Weakly Supervised Transformer for Radar Jamming Recognition
Remote SensingRadar jamming recognition is a key step in electronic countermeasures, and accurate and sufficient labeled samples are essential for supervised learning-based recognition methods. However, in real practice, collected radar jamming samples often have weak
Menglu Zhang, Yushi Chen, Ye Zhang
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An Anti-Jamming Method against Two-Dimensional Deception Jamming by Spatial Location Feature Recognition [PDF]
Sensors, 2021 Interrupted sampling repeater jamming (ISRJ) is an effective method for implementing deception jamming on chirp radars. By means of frequency-shifting jamming processing of the target echo signal and pulse compression during image processing, a group of false targets will appear in different spatial locations around the true target.
Zhidong Liu, Qun Zhang, Kaiming Li
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SAR Image Active Jamming Type Recognition Based on Deep CNN Model
Leida xuebao, 2022 Synthetic Aperture Radar (SAR) can acquire high-resolution radar images of region of interest under all-day and all-weather conditions, a capability that has been successfully applied in many fields.
Siwei CHEN +4 more
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Recognition of Micro-Motion Jamming Based on Complex-Valued Convolutional Neural Network
Sensors, 2023 Micro-motion jamming is a new jamming method to inverse synthetic aperture radar (ISAR) in recent years. Compared with traditional jamming methods, it is more flexible and controllable, and is a great threat to ISAR.
Chongwei Shi +4 more
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