| 1 |
PENG R H, WU X R, WANG G H, et al. Intelligent recognition and information extraction of radar complex jamming based on time-frequency features[J]. Journal of Systems Engineering and Electronics, 2024, 35 (5): 1148- 1166.
doi: 10.23919/JSEE.2024.000073
|
| 2 |
QU Q Z, WEI S J, LIU S, et al. JRNet: Jamming recognition networks for radar compound suppression jamming signals[J]. IEEE Trans. on Vehicular Technology, 2020, 69 (12): 15035- 15045.
doi: 10.1109/TVT.2020.3032197
|
| 3 |
DONG X, GUO S H, FANG W, et al. Radar active composite jamming recognition based on characteristic parameters[C]//Proc. of the IEEE 4th International Conference on Electronic Technology, Communication and Information, 2024: 415−420.
|
| 4 |
ZHANG J X, LIANG Z N, ZHOU C, et al. Radar compound jamming cognition based on a deep object detection network[J]. IEEE Trans. on Aerospace and Electronic Systems, 2023, 59 (03): 3251- 3263.
doi: 10.1109/TAES.2022.3224695
|
| 5 |
白爽, 卫鑫. 雷达/红外成像复合制导反舰导弹干扰方法[J]. 指挥控制与仿真, 2020, 42 (04): 117- 122.
|
|
BAI S, WEI X. Research on jamming method against radar/infrared imaging composite guidance anti-ship missile[J]. Command Control & Simulation, 2020, 42 (04): 117- 122.
|
| 6 |
LIU C X, Ren B B, FU D, et al. A GNSS Composite Interference Recognition Method Based on YOLOv5[C]//Proc. of the IEEE 6th International Conference on Civil Aviation Safety and Information Technology, 2024: 1157−1162.
|
| 7 |
KONG Y K, XIA S L, DONG L X, et al. Compound jamming recognition via contrastive learning for distributed MIMO radars[J]. IEEE Trans. on Vehicular Technology, 2024, 73 (6): 7892- 7907.
doi: 10.1109/TVT.2024.3358996
|
| 8 |
LV Q Z, QUAN Y H, FENG W, et al. Radar deception jamming recognition based on weighted ensemble CNN with transfer learning[J]. IEEE Trans. on Geoscience and Remote Sensing, 2022, 60, 5107511.
|
| 9 |
WU Z H, QIAN J, ZHANG M, et al. High confidence sample augmentation based on label-guided denoising diffusion probabilistic model for active deception jamming recognition[J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20, 3508305.
|
| 10 |
ZHOU H P, WANG L, GUO Z Y. Recognition of radar compound jamming based on convolutional neural network[J]. IEEE Trans. on Aerospace and Electronic Systems, 2023, 59 (6): 7380- 7394.
doi: 10.1109/TAES.2023.3288080
|
| 11 |
魏毅寅, 杨文华. 海战场典型干扰对抗场景及反舰导弹应对策略研究[J]. 战术导弹技术, 2020, 5 (5): 1- 8.
|
|
WEI Y Y, YANG W H. Study on typical jamming scenes in naval battle field and countermeasures of anti-ship missile[J]. Tactical Missile Technology, 2020, 5 (5): 1- 8.
|
| 12 |
ZHI X K, ZHOU H Q, TANG Y. Infrared-radar multimodal target detection algorithm combining position prior information[C]//Proc. of the SPIE, 2024: 13105.
|
| 13 |
YANG L, ZHANG X Y, LI L, et al. Research on composite deception interference recognition and suppression technology based on multi-dimensional features[C]//Proc. of the IEEE International Conference on Signal, Information and Data Processing, 2019.
|
| 14 |
MENG Y Y, YU L, WEI Y S. Multi-label radar compound jamming signal recognition using complex valued CNN with jamming class representation fusion[J]. Remote Sensing, 2023, 15 (21): 5180.
doi: 10.3390/rs15215180
|
| 15 |
ZHOU H P, WANG L, MA M H, et al. Compound radar jamming recognition based on signal source separation[J]. Signal Processing, 2024, 214, 109246.
doi: 10.1016/j.sigpro.2023.109246
|
| 16 |
LV Q Z, FAN H X, LIU J L, et al. Multilabel deep learning-based lightweight radar compound jamming recognition method[J]. IEEE Trans. on Instrumentation and Measurement, 2024, 73, 2521115.
|
| 17 |
张军周, 尹天宫. 对抗新型反舰导弹有源无源协同干扰策略研究[J]. 舰船电子工程, 2020, 40 (5): 35- 39.
|
|
ZHANG J Z, YIN T G. Research on active and passive cooperative jamming method against new anti-ship missiles[J]. Ship Electronic Engineering, 2020, 40 (5): 35- 39.
|
| 18 |
李文俊, 刘承禹, 魏建功, 等. 一种有源无源复合干扰方法研究[J]. 舰船电子工程, 2021, 41 (2): 73- 76.
|
|
LI W J, LIU C Y, WEI J G, et al. Study on the method of active-passive-complex electronic counter-measures[J]. Ship Electronic Engineering, 2021, 41 (2): 73- 76.
|
| 19 |
LIU S X, WU H, WANG D H, et al. Multimode composite guidance data fusion method and its experimental validation[J]. Optics and Precision Engineering, 2025, 33 (4): 512- 520.
doi: 10.37188/OPE.20253304.0512
|
| 20 |
李文召, 齐晓辉. 基于雷达/红外量测重构的抗干扰跟踪算法[J]. 火力与指挥控制, 2023, 48 (9): 137- 143,151.
|
|
LI W Z, QI X H. Anti-jamming tracking algorithm based on reconstruction of radar/IR measurements[J]. Fire Control & Command Control, 2023, 48 (9): 137- 143,151.
|
| 21 |
TANG Z Y, DENG Y K, WANG R, et al. Intermittent sampling deceptive jamming suppression for sar based on azimuth phase coding[C]//Proc. of the IEEE International Geoscience and Remote Sensing Symposium, 2019: 513−516.
|
| 22 |
FAISAL K N, SHARMA R R. Cross-terms reduction in WVD using sliding window-based variational mode decomposition[C]//Proc. of the 10th International Conference on Signal Processing and Integrated Networks, 2023: 58−63.
|
| 23 |
SZMAJDA M, GÓRECKI K, MROCZKA J. Gabor transform, Gabor-Wigner transform and SPWVD as a time-frequency analysis of power quality[C]//Proc. of the 14th International Conference on Harmonics and Quality of Power, 2010.
|
| 24 |
VARGHESE R, SAMBATH M. YOLOv8: a novel object detection algorithm with enhanced performance and robustness[C]//Proc. of the International Conference on Advances in Data Engineering and Intelligent Computing Systems, 2024.
|
| 25 |
XU S B, ZHENG S C, XU W H, et al. HCF-Net: hierarchical context fusion network for infrared small object detection[C]//Proc. of the IEEE International Conference on Multimedia and Expo, 2024.
|
| 26 |
YANG B, ZHANG X Y, ZHANG J, et al. EFLNet: Enhancing Feature Learning Network for Infrared Small Target Detection[J]. IEEE Trans. on Geoscience and Remote Sensing, 2024, 62, 5906511.
|
| 27 |
WOO S, PARK J, LEE J Y, et al. CBAM: convolutional block attention module[C]//Proc. of the Computer Vision – ECCV 15th European Conference, 2018.
|
| 28 |
LIN T Y, GOYAL P, GIRSHICK R, et al. Focal loss for dense object detection[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2020, 42 (2): 318- 327.
doi: 10.1109/TPAMI.2018.2858826
|
| 29 |
ASHISH V, NOAM S, NIKI P, et al. Attention is all you need[C]// Proc. of the 31st International Conference on Neural Information Processing Systems, 2017: 6000−6010.
|
| 30 |
PRANNAY K, PIOTR T, CHEN W, et al. Supervised contrastive learning[C]//Proc. of the 34th International Conference on Neural Information Processing Systems, 2020: 18661−18673.
|